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If you work in a laboratory, you know how important it is to effectively share equipment and resources with your colleagues. Advances in laboratory technology have given us access to remarkable analyzers and instruments for our research and diagnostic needs. But, while lab equipment can make workflows faster and more cost-effective, there are the added challenges of upfront investment costs, staying organized, continuous upkeep, and integration with other platforms. 

In the following blog, we’ll discuss these struggles in more detail and how to solve them with a simple and accessible solution.

The Problem: De-Centralized and Unconnected Organization

Whether coordinating a small or large lab, managing a suite of equipment and their associated operation is no easy feat. 

Here are a few challenges that we’ve heard over the years:

Lab equipment is spread across different rooms and floors. 

Validation and preventative maintenance schedules vary amongst instruments. 

When equipment issues arise, vital information, like a faded serial number or a lost user manual, can become unexpectedly unavailable.  

Multiple users with different schedules have continuous conflicts with equipment usage.

Different users have different experimental protocols or techniques, requiring time-consuming and error-prone setup transitions.

Many labs try to proactively circumvent these issues by implementing a shared spreadsheet or paper log. These approaches are not designed to be at the forefront of the lab workflow; they become "optional" rather than "necessary." As a result, labs still experience delays and conflicts with equipment reservation and preventative maintenance schedules. A missed re-validation may result in unusable or non-compliant data and potentially weeks of downtime due to part availability or field service engineer scheduling. 

While each scenario is distinct, the result is the same: Limited equipment availability. Ultimately, the consequences can quickly halt research, leading to lost time and money.

The Solution: A Lab-Focused Digital Approach

Without a centralized approach that lab personnel can easily access and utilize, lab efficiency will suffer.

A digital lab platform is designed with the lab's needs in mind and can help you and your colleagues manage lab equipment effectively and efficiently. By having a centralized repository for your lab equipment, you can optimize your workflow, increase productivity, and limit potential equipment downtime.

Here are the top features that can provide significant benefits to your lab:

  • Reservation System - Many platforms provide centralized scheduling systems that allow users to book preferred time slots for equipment usage easily. Researchers can view equipment availability in real time with a simple calendar interface, enabling them to plan their experiments accordingly. Additionally, digital lab platforms often include automated notifications and reminders, ensuring users know their scheduled time slots and reducing the chances of equipment being idle or unused. You can also use options to block equipment reservations or change equipment status if repair or maintenance is required. The benefits of these features are fewer scheduling conflicts and higher efficiency.
  • Equipment Summary - If something goes wrong or a new technician is getting trained to use a piece of equipment, do you have quick access to vital information? Digital lab platforms allow you to capture and store essential metadata such as equipment specifications, maintenance records, calibration data, and usage history. This centralized approach ensures that researchers have a reliable and up-to-date source of information about the shared equipment. Users can access detailed documentation, including user manuals, operating procedures, and troubleshooting guides, enabling them to make informed decisions and operate the equipment correctly. Furthermore, the platform's search and filtering capabilities allow researchers to quickly locate specific equipment based on parameters like availability, functionality, or compatibility with experimental requirements. 
  • Equipment History - Digital lab platforms allow researchers to access a detailed record of past experiments, including experimental parameters, results, and any issues encountered. This historical data provides valuable insights into trends regarding the performance and reliability of the equipment, allowing users to make informed decisions about its suitability for specific experiments. Moreover, tracking equipment history helps identify any recurring problems or patterns of malfunction, enabling proactive maintenance and minimizing downtime.

Try eLabNext's Digital Lab Platform for Your Equipment Management Needs 

Overall, digital lab platforms help optimize the management of shared equipment by streamlining scheduling, increasing equipment uptime, and lengthening the lifetime of an instrument. Additionally, they can help promote collaboration, facilitate remote access to equipment, and “future-proof” your lab. These platforms increase lab efficiency, enable sustainability, improve communication, and enhance productivity in shared lab environments.

eLabNext is the most advanced digital lab platform that can help elevate your laboratory equipment workflow. Request a personal demo or start a free trial today to see how it can integrate seamlessly into your lab’s operations.
You can also explore the eLabMarketplace, where you can find and install add-ons and integrations that suit your specific needs.

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Lab Operations

Make Laboratory Equipment Management a Breeze with a Digital Lab Platform

Centralize equipment reservations, access vital equipment metadata, and track equipment history with a digital lab platform.

eLabNext Team
Jonathan Amadio
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5 min read

In the ever-evolving landscape of laboratory management, staying ahead of the curve is crucial, while safeguarding your data privacy is paramount.

At eLabNext, we understand the importance of ensuring that your data remains under your control. That's why we are excited to introduce two groundbreaking updates that put you in the driver's seat when it comes to AI assistance. First, we've developed generative AI endpoints as a secure proxy into our API. The usage of these endpoints is decided by your explicit consent and actions driven by you, the user. This empowers you with easy access to AI-powered assistance for any custom-made Add-Ons created through our API and SDK tools that will be clearly marked to be using AI technologies. Second, we're launching a brand-new Add-On that can generate protocols based on simple prompts, putting you firmly in control of your laboratory workflow. Your data, your decisions, and your laboratory operations—safeguarded and streamlined.

Introducing the Protocol Generation Add-On

We are excited to introduce our latest Add-On using this new feature – the Protocol Generation Add-On. This powerful tool is designed to make your life in the laboratory even easier.

  • Effortless Protocol Creation: Say goodbye to the days of spending hours creating lab protocols manually. With the Protocol Generation Add-On, you can generate detailed protocols by simply providing a few prompts. Describe your experiment, and let the AI do the rest.
  • Customizable Templates: Customize generated protocols to suit your specific needs. Fine-tune the generated protocols, ensuring they align perfectly with your research objectives.
  • Version Control: Keep track of changes and revisions effortlessly. The Protocol feature in eLabNext maintains a version history of all your protocols, making it easy to review and revert to previous versions if needed.
  • Collaboration Made Easy: Collaborate seamlessly with your team by sharing protocols, fostering a more collaborative research environment.

Our commitment to innovation doesn't stop here. We're dedicated to continuously enhancing your laboratory experience. Be on the lookout for more AI-driven Add-Ons coming soon to our marketplace from ourselves and third parties, each designed to tackle specific challenges and streamline various aspects of your laboratory management. We're excited to lead the way in integrating cutting-edge AI technologies into your daily laboratory routines, making your work more efficient, accurate, and productive. Stay tuned for what's next as we pave the path to a smarter, more connected future for laboratory management.

Please note: This add-on is currently only available for cloud users. It will be available to dedicated installations on November 26th.

The power of generative AI

With the integration of generative AI endpoints into our API, we've taken a leap forward in making your laboratory management experience more efficient and insightful. With future Add-Ons created in-house by your own developers or by any third party, it can potentially help you to:

  • Seamlessly Integrate: Our generative AI integration seamlessly embeds AI capabilities into your custom Add-Ons, offering AI-driven insights and assistance with just a few lines of code.
  • Enhanced Data Analysis: With generative AI, you can perform more advanced data analysis tasks through our API. Whether interpreting complex research results, generating insightful reports, or exploring patterns in your data, these powerful AI capabilities are at your disposal.
  • Simplified Documentation: Use our API/SDK combination to streamline your documentation process with generative AI. Create detailed lab reports, experiment summaries, and more, allowing you to focus on your research rather than paperwork.

Conclusion

With the integration of generative AI endpoints into our API and the introduction of the Protocol Generation Add-On, eLabNext is at the forefront of pushing the boundaries in laboratory management. These updates are designed to empower scientists, researchers, and lab managers with advanced AI capabilities that simplify workflows, enhance data analysis, and foster seamless collaboration. We invite third parties to join us in this innovation journey, leveraging our AI tools to build add-ons on the eLabNext platform.

Stay ahead of the curve and harness the full potential of AI in your laboratory with eLabNext. Explore these new features and witness firsthand how they can revolutionize your research and laboratory operations.

Are you ready to experience the future of laboratory management? Contact us today for a free demo and embark on a transformative journey toward a more efficient and insightful research process.

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News

Revolutionizing Laboratory Management with generative AI Integration and our Protocol Generation Add-On

eLabNext Team
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5 min read

"Why can't I just use Microsoft OneNote as an electronic lab notebook (ELN)?"

It’s a question we hear a lot at eLabNext from various future customers who have made their very first steps on their digital journey. This question is often quickly followed by the question, “Why would we pay more money for an ELN or laboratory sample information storage (LIMS) system if OneNote or Excel can do it?"

Yes, some in our scientific community have adopted the note-taking software OneNote (and other Microsoft programs like Excel) for data acquisition, presentation, sharing, and more.1 Some even prefer the functionalities of OneNote to ELNs designed for laboratory environments.2

For the basic functions, you may prefer OneNote, but if you need to optimise your laboratory processes or ensure compliance in several different regulatory environments as you scale and move into biotech or pharma manufacturing, then please read on to learn why OneNote is not an adequate solution for biotech start-ups, academic institutions, or even larger biotechs, CROs or pharmaceutical companies.

In the blog below, we’ll show why you might prefer an ELN dedicated to the scientific process over OneNote and save you from future data migration or compliance challenges.

1. Scientific-Specific Features

ELNs are designed with scientific research in mind, offering specialised features tailored to laboratory workflows. They often include functionalities such as experimental templates, structured data entry, integration with other laboratory software and instructions, metadata capture, and data analysis capabilities. These features are essential for effectively organising and analysing scientific data, which may not be present or as comprehensive in OneNote. Microsoft offers templates for the note-taking program; however, these take additional effort to implement and tailor for specific scientific applications. With an ELN dedicated to science, there is a framework built around the storage, retrieval, and sharing of protocols, samples, data, metadata, and more.

2. Regulatory Compliance

Biotech research often involves compliance with regulatory guidelines, such as Good Laboratory or Manufacturing Practices (GLP / GMP) and 21 CFR Part 11. Electronic lab notebooks are specifically developed to meet these regulatory requirements, offering features like electronic signatures, data versioning, audit trails, and controlled access permissions. These compliance-focused features are essential for ensuring data integrity and meeting regulatory standards. These are lacking in OneNote and require customisation or workarounds (e.g., there is no electronic signature capability in OneNote).

3. Data Organization and Search

ELNs provide structured data organisation, allowing you to categorise and tag experiments, samples, and related information. This structured approach enables efficient data search, retrieval, and cross-referencing, making it easier to find specific experiments or data points. OneNote offers basic organisation features but does not provide the same level of flexibility and search capabilities specific to scientific research.

4. Collaboration and Teamwork

Biotech research often involves collaboration among internal team members and with external partners. Electronic lab notebooks offer collaboration features that facilitate real-time collaboration, data sharing, and commenting within the context of specific experiments or projects. ELNs allow multiple users to work simultaneously, track changes, and maintain a complete record of collaboration activities. While OneNote does support collaboration, it may not provide the same granularity and integration with laboratory workflows as ELNs. For instance, OneNote doesn’t allow sharing a single entry, so if you need to share one section with an external collaborator, you’ll need to start a new ELN with just the entries you want to share in them.

5. Integration with Laboratory Instruments and Software

ELNs can often integrate with laboratory instruments and other scientific software tools. This integration allows direct data transfer from instruments to the ELN, eliminating manual transcription and reducing the chances of errors. It also enables seamless integration with bioinformatics tools, data analysis platforms, and research data management systems. Two great examples of this at eLabNext are with Implen NanoPhotometer and Elemental Machines temperature (humidity, pressure, and light) monitoring for your samples. On the other hand, OneNote does not offer the same level of integration and interoperability with scientific instruments and software (at the time of writing this article, August 2023).

6. Data Security and Intellectual Property Protection

ELNs typically provide advanced data security measures, including user authentication, access controls, encryption, and secure cloud storage options. These security features are essential for protecting sensitive research data and intellectual property. While OneNote offers some security features, ELNs are specifically designed with data protection in mind and may provide more robust security measures for scientific research data. eLabnext is ISO 27001 accredited and is the most secure laboratory software on the market today.

Why Use Software Designed For a Different Task…

…when eLabNext’s ELN is specifically designed for the life science laboratory? Microsoft OneNote is a practical, general-purpose note-taking application.

However, ELNs offer specialised features and capabilities specifically designed for scientific research workflows and compliance requirements.

Would you use a screwdriver to hammer in a nail?

Let the note-taking programs be used for note-taking, and the ELNs, for streamlining the life sciences.

If your biotech start-up focuses on laboratory research, data management, collaboration, and regulatory compliance, an ELN is a more suitable choice than OneNote.

Why not request a free 30-day trial of eLabNext’s digital lab platform today and try it yourself? Together, we can uncover the benefits above and many, many more!

References:
1. Guerrero S, López-Cortés A, García-Cárdenas JM, et al. A quick guide for using Microsoft OneNote as an electronic laboratory notebook. PLOS Comput Biol. 2019;15(5):e1006918. doi:10.1371/journal.pcbi.1006918
2. Guerrero S, Dujardin G, Cabrera-Andrade A, et al. Analysis and Implementation of an Electronic Laboratory Notebook in a Biomedical Research Institute. PLoS ONE. 2016;11(8):e0160428. doi:10.1371/journal.pone.0160428

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Security & Compliance

6 Reasons Not to Use Microsoft OneNote as an ELN (and What to Use Instead)

Discover the shortcomings of using Microsoft OneNote as an electronic lab notebook (ELN) for life science labs. Explore 6 compelling reasons.

eLabNext Team
Chris Austin
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5 min read

Philadelphia, PA - With a moniker like “Cellicon Valley,” exceptional academic institutions, a skilled workforce, and steadily growing infrastructure, it’s no surprise that Philadelphia was recently ranked as the #5 life science hub in the U.S. One component supporting Philadelphia’s growing and active biotech community is the lab and office space, essential for providing a physical place that fosters the growth of the many promising startups in the community. 

With all the excitement around the growth of the scientific community in the City of Brotherly Love, the Cambridge Innovation Center (CIC) opened a coworking wet lab space to give scrappy startups a place to let their auspicious ideas flourish. 

“What’s special about CIC’s space in Philly is that it accommodates early-stage scientists with passion and data to support their ideas,” says Kelsey Henderson, the Lab Development Lead at CIC. “We enable them to come in and rent a single bench on flexible terms, have it for a month, and focus on raising capital to expand their operations.”

CIC’s approach has been incredibly successful, allowing CIC to provide adjustable support to pre-seed companies, several of which have grown from a few benches to a private lab space of over 35 lab benches. This philosophy extends to CIC’s other locations as well: With coworking spaces located in biotech hubs around the globe – including Boston, Cambridge, Providence, St. Louis, Miami, Tokyo, Rotterdam, and Warsaw – CIC operates to provide their innovators with the maximum chance to impact the life sciences and the many other industries CIC serves.

Providing Support for the Next-Generation of Life Science Companies

But physical space is only part of the equation for the companies that CIC serves. 

“A lot of our clients are academic spinouts,” explains Kelsey, “so it's a big step for them to start in a new co-working or private lab space. We’ve organised our labs to provide scientists with things to help them and accelerate their progress.” 

That includes various amenities, including an in-house lab management team that handles equipment and consumables ordering, regular lab coat and facilities cleaning, hazardous waste disposal, and many others. In addition, CIC provides an extensive collection of shared molecular and cell biology equipment – including flow cytometers, high-performance liquid chromatography (HPLC), cell sorters and separators, tissue culture facilities, ultra-low temperature (ULT) freezers, digital PCR (dPCR) platforms, and various cell imaging platforms – available for unmetered use. This enables startups to access vital equipment without raising the capital to purchase it.

“We always try to focus on making decisions that support our scientists,” Kelsey shares. “CIC recently doubled the footprint of our physical lab space in Philadelphia because we wanted to accommodate the continued growth of our current cohort.”

Digital Infrastructure that Fosters Growth

Beyond the lab space, shared equipment, and personnel support, many companies need a digital infrastructure to grow and scale efficiently. To help the scientific teams at their Philadelphia site, CIC partnered with eLabNext so that residents could access an all-in-one electronic lab notebook and sample, equipment, and protocol management tools, enabling complete digitalization of a lab.

“We’ve had clients use eLabNext’s digital lab platform at our site before, so we talked to them about how we could best support our community,” says Kelsey. “We worked out a sponsorship agreement so all of our shared wet lab clients can access the software at a discounted rate, allowing them to see how it performs in their workflows and integrates into their SOPs. With our focus on enabling clients’ growth, we wanted to provide them with products that help them do that. Choosing eLabNext’s platform was a no-brainer.”

The eLabNext platform also provides a growing library of add-ons to expand the software's functionality and facilitate startups to tailor it to their needs.

“One of the most attractive features of partnering with CIC was the alignment around the same values: aiding innovation, elevating research, and doing so in a vibrant ecosystem with incentivized programs, says Zareh Zurabyan, Head of eLabNext, Americas. “We know that providing a robust digital lab strategy to a startup will not only set them up for successful fundraising, reproduction of experiments, and data mining, but it will impact their business strategy and facilitate innovation. With all the new amazing artificial intelligence/machine learning advances that are now available, labs want to be able to diversify their tools. We can provide that to them directly with our Digital Lab Platform and our eLabMarketplace. These are very exciting times, and we are excited to work with all the CIC labs!” 

Philadelphia's reputation as a thriving life science hub is well-deserved, and the CIC has played, and will continue to play, a significant role in supporting the growth of the city's biotech community through physical and digital infrastructure.

eLabNext is now at the CIC Philadelphia site.

To learn more about Philadalphia’s growing life science sector, visit cic.com.

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News

Partnership with CIC--Providing Tools for Startup Growth in Philadelphia’s Life Science Lab Space

eLabNext Team
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5 min read

Where do you see your lab in five years? 

Will daily operations become fully automated with the latest robotic enhancements? 

Or will your data collection systems be integrated with AI solutions to deliver breakthrough insights faster?

While we may not be able to predict the future here at eLabNext, we think about it every day while we help our customers establish a healthy digital foundation that prepares them for wherever their research takes them in the coming years. Whether you’re just starting your digitalization journey or are a seasoned eLabNext user, here are five recommendations that you can use to “future-proof” your digital lab space.

#1: Identify Your Digital Leaders

Remember that digitalization is a marathon, not a sprint. 

Spending weeks or even months transitioning the lab’s data and workflows into your digital lab space is common. Assign a point person or steering committee to oversee this process and take ownership of decisions related to the eLabNext platform, such as how to set up the group’s sample types. These members can also serve as “super-users” of the platform who train other end users on how to use the platform in the context of their lab environment. As your lab grows into the system over time, you’ll have developed a go-to team of product experts within your organization who can anticipate the direction of your research and recommend changes to digital workflows.

#2: Define Your Local Policies

If this is your team’s first time using a Digital Lab Platform (DLP), introduce healthy digital practices within the lab from the start! Check out eLabNext’s various policies and settings at the account and group levels to standardize your date and time settings, enforce minimum password requirements, or activate signature workflows for signing off on experiments and SOPs. For labs that need to observe security or compliance rules, these are handy opportunities to “nudge” users toward certain behaviors.

If your organization has purchased a private cloud or on-premises hosting, don’t forget to check out the enterprise settings for additional options.

#3: Establish a Role-Based Hierarchy

Everyone has a job to do, and your digital lab space should reflect that! 

All group members get assigned a role within the eLabNext platform, which determines what types of actions they can perform. Look at the makeup of your team and consider creating roles that reflect the various responsibilities within your lab: For example, a junior technician should only be able to edit their own experiments, whereas a PI has full access to all ELN entries. A well-defined hierarchy not only aligns users’ digital experience with their day-to-day tasks, but it also protects access to potentially sensitive data and prevents users from inadvertently making changes to workflow-critical resources.

#4: Develop Strong Naming Conventions

Have you ever compared notes with a colleague and had to decipher their shorthand for a sample record? A misinterpreted note can spell disaster for reproducing research findings, so we emphasize the importance of creating consistent naming conventions. Developing a standardized naming system will ensure that records remain organized as more information is added to the group over time, making it easier to search your database for a particular experiment.

#5: Customize Your Digital Lab Space for Your Needs

When it comes to lab digitalization, there is no one-size-fits-all, off-the-shelf digital solution.

That’s why eLabNext offers a range of add-ons (many are free through our Marketplace) that can expand your lab’s capabilities with utilities, custom sections, device integrations, and connections with various third-party platforms. Users can pick and choose which features support their specific workflow needs to keep their interface clean and focused.

And for any tech-savvy team members, you can even build your own Marketplace add-on using our development toolkit! Check out our Developer Experience to learn more about our open API, JavaScript-based SDK, getting started guides, and some recipes for popular add-on templates.

With the right preparations, your lab will be ready to adapt to whatever new technologies or research challenges the future holds! To learn more about what steps your team can take to future-proof your lab space, schedule a consultation with your eLabNext Digital Lab Specialist.

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Digitalization

5 Easy Ways to “Future-Proof” Your Lab’s Digital Foundation

From cultivating digital leaders to customized solutions, ensure your lab stays at the forefront of research and technology.

eLabNext Team
Ethan Sagin
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5 min read

If you’ve ever scanned your ID badge to open a door, driven through the E-ZPass lane on a toll road, or used tap-and-go to pay at the gas station, then you’ve used RFID.

Today, RFID (radio frequency identification) technology is used in various ways in everyday life because it makes tasks like the ones above faster and more convenient.

For this reason, RFID is also gaining popularity as a tool for chemical inventory. In this article, we’ll look at how RFID chemical inventory tracking works, as well as some reasons why you might consider using RFID for chemical inventory.

How does RFID work as a chemical inventory tracking solution?

RFID is a technology that uses radio waves to transmit information. First, small RFID tags are attached to individual chemical containers. Each RFID tag transmits a unique ID number, which is linked to a record in a database containing information about the item. This information can include details such as chemical name, expiration date, manufacturer details, and more.

These tags can be read using handheld RFID readers or scanners, which emit radio waves that communicate with the RFID tags.

When tagged items come within the range of RFID scanners, the scanners read the ID number stored in the RFID tags. This eliminates the need for you to scan each individual container, allowing you to reconcile your inventory in a fraction of the time it would normally take.

Naturally, RFID chemical inventory is more expensive than barcoding. However, it’s also more convenient and reliable, making it well worth the upfront investment.

But don’t just take our word for it: In the retail sector, for instance, 93% of North American companies are using RFID technology for inventory tracking. Of these businesses, those that have fully adopted RFID are reporting more than 10% return on their investment.

Benefits of RFID for tracking chemical inventories

Accuracy

RFID tracking is — not surprisingly — more accurate than manual barcode scans. By automatically scanning containers, RFID readers remove the potential for manual errors. You don’t have to worry about typing in numbers correctly or reading each individual barcode. The RFID reader does this for you!

RFID also reduces the chances of you missing inventory items. How so? Unlike barcodes, RFID tags don’t need to be visible to be scanned. This means that tags can be read even if they’re inside cabinets, packages, or hidden from view.

On average, companies that adopt RFID see their inventory accuracy go from 63% to 95%.

Real-time inventory visibility

Even with an accurate inventory, it can be difficult to locate a specific container in a lab or storage area that may have hundreds or thousands of different bottles. However, RFID technology can streamline this process by enabling precise and efficient container tracking.

Once containers have been tagged, handheld RFID readers can be used like a metal detector to locate a specific container. All you have to do is enter the tag ID for the container you need, and the reader will alert you when you’re in proximity to the tagged container. Think how much time this would save you!

RFID also makes it easier to manage your chemical inventory in real time. By strategically placing scanners near disposal areas, you can track the transition of containers from “active” to “disposed” status. This information can help you monitor inventory levels, optimize purchasing, and reduce waste.

Cost-effectiveness

RFID delivers huge benefits in terms of cost and time savings. Studies by Auburn University have shown that using RFID expands inventory count rates from 200 to 20,000+ items an hour. In other words, employees are able to complete their inventory counts 100X faster. Just think how this could impact your chemical inventory! When you consider the hourly cost of FTEs, the potential for savings is enormous.

And there’s more good news: Until recently, RFID was a luxury reserved for retail giants like Amazon and Walmart. But as RFID has grown in popularity, prices have gone down considerably— making it a cost-effective solution for chemistry labs.

According to McKinsey, the cost of RFID readers has fallen by nearly 50%, and the cost of tags has fallen around 80% With a host of affordable RFID scanners and tags on the market, this technology is poised to become a standard part of the chemistry lab’s inventory management arsenal.

A few other suggestions to keep costs low:

  • Opt for RFID tags with printed tag IDs and optical barcodes. This way, you can use less expensive barcode scanners for routine inventory tasks, and share pricier RFID readers among groups for reconciliation or locating containers as needed.
  • Consider implementing a chemical RFID solution for only a portion of your inventory, such as high-hazard areas and/or chemical areas with the most varied and dynamic records. (SciShield’s ChemTracker software can accommodate a mix of RFID, barcoded, and non-labeled containers.)

Improved compliance

With RFID, you can see where chemicals are stored within your lab and in what quantities. This makes staying in compliance with regulations easy.

RFID tags attached to chemical containers enable accurate tracking of each container. This aids in maintaining an up-to-date record of where chemicals are located, ensuring compliance with storage, handling, and disposal requirements.

RFID also allows you to keep tabs on how much of each chemical you have on hand. For instance, you can see when there are multiple containers of the same chemical. Not only does this help you avoid purchasing duplicates, it also helps you stay within regulatory limits by ensuring that everything present in your lab is accounted for.

On the flip side, RFID technology can also help to ensure that chemicals that are no longer physically present are removed from inventory records. Why is this important? One of the most common errors in chemical inventory happens because users forget to remove inventory records from the system when chemicals are consumed or discarded. This results in overreporting of chemical quantities, which can make it seem like chemical storage areas are out of compliance with hazardous material limits when they are actually not.

Next steps

RFID is becoming a popular method for chemical inventory tracking — and for good reason. Using RFID offers many benefits, including accuracy, real-time visibility, cost savings, and improved compliance. To learn more about the options available to you, check out our free guide to chemical inventory software or request a consultation with our expert team.

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Community Hub

RFID for Chemical Inventory Tracking [Data & Expert Insight]

Stay safe in the lab! Explore 14 crucial lab safety rules from the experts at SciShield. Protect yourself and your team with these essential guidelines.

eLabNext Team
Christine Lellis
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5 min read

In and out of the life sciences, the conversation about artificial intelligence (AI) is impossible to avoid. Because AI has crossed over into mainstream culture, the discussion about the pros and cons of its use is amplified. As with any new technology, there is fear and calls for an immediate half-year moratorium on research.

The flip side is the radical optimism espoused by Sam Altman of Open AI, with statements about its ability to improve the human condition. This sentiment is at the centre of the concept of human-centric AI, which we at eLabNext believe can benefit the biotech community. The following blog will discuss the basics of human-centric AI and how it can drive positive change in today’s modern biotech labs.

What is Human-Centric AI?

Human-centric AI refers to designing, developing, and deploying AI systems that prioritize the well-being, needs, and values of humans. In other words, it's the use of AI to improve the human condition.

Key Principles of Human-Centric AI 

To ensure that AI systems are developed and deployed in ways that align with human interests, some guiding principles have emerged to help those actively engaged in AI work towards improving the human condition.

  1. Transparency & Explainability: Make AI systems explainable and understandable to humans, ensuring transparency in decision-making.
  2. Fairness and Avoiding Bias: Mitigate biases and guarantee fair treatment of individuals from diverse backgrounds, considering factors such as gender, race, or socioeconomic status.
  3. Privacy and Data Protection: Respect individuals' privacy rights and implement robust data protection measures to safeguard sensitive information.
  4. User Empowerment, User Control, and Autonomy: Design AI systems that empower individuals by giving them control, autonomy, and the ability to understand and influence AI's behaviour.
  5. Collaborative Interaction: Encourage human-AI collaboration and create AI systems that complement human capabilities, fostering teamwork and shared decision-making.
  6. Social & Environmental Impact: Assess the broader societal consequences of AI deployment and strive to address potential negative impacts while maximizing positive outcomes.
  7. Robustness and Reliability: Develop AI systems focusing on reliability, robustness, and safety, minimizing the potential for errors, biases, or unintended consequences. Adequate testing, validation, and risk assessment procedures should be in place.
  8. Ethical Governance: Integrate ethical considerations into all stages of AI development, including data collection, algorithm design, deployment, and monitoring.

Applying Human-Centric AI in Biotech

AI is already being applied in healthcare, where it’s being used to directly enhance the human condition with better disease detection and prediction.

Further upstream, in the biotech discovery or drug and diagnostic development spaces, human-centric AI enables vetting drug candidates, developing fruitful pre-clinical testing strategies, and more. There have been early adopters of AI systems and those who are more cautious, waiting until the dust clears to implement AI into their workflows.

Whether you fall into one camp or another, AI implementation in a laboratory environment requires a robust digital infrastructure. For those utilizing old-school, in-house built systems or pen-and-paper record-keeping with no long-term digitalization strategy, harnessing AI's power is bound to be a multi-stage, lengthy, and costly process. The foundation for being a human-centric AI biotech company is having a robust digital foundation across the board, from day-to-day sample management to large-scale raw file data control.

Ultimately, it comes down to having a Digital Lab Strategy that can lead your organization to implement human-centric AI more seamlessly, either now or in the not-too-distant future. 

Start Your Lab’s Digital Journey Today

Are your samples and experiments digitized? Can you easily access and analyze your data? Is there a healthy collaborative culture and technical capability?

If so, then the rest is easy. Schedule a free personal demo with our digitalization specialist to get started!

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AI

The Role of Human-Centric AI in Biotech Laboratories

eLabNext Team
Zareh Zurabyan
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5 min read

The goal for anyone working in laboratory automation is to “set it and forget it.”

In a perfect world, we could set up an assay on an instrument of our choosing, start the program, and walk away to do one of the other thousands of things on our “to-do” list. 

Even though automation has gotten more powerful and precise, the amount of time you can walk away from a machine without worry – appropriately called walkaway time – requires trust and confidence in your instrument, infrastructure, and yourself. It also requires some optimization.

There are many ways to increase your walkaway time. In the following blog, we’ll talk about the top brands in laboratory automation and some strategies to increase your walkaway time. 

Top 10 Laboratory Automation Brands

Several top brands have established themselves as leaders in lab automation, offering cutting-edge solutions to streamline laboratory workflows and enhance efficiency. These brands shape the future of lab automation, enabling scientists to achieve higher productivity and reproducibility in their research endeavors.

Here are the top 10 lab automation brands:

  1. Eppendorf: Eppendorf is known for its wide range of laboratory equipment, including the epMotion® series of automated liquid handlers that improve pipetting accuracy and precision for reproducible results.
  2. Promega: Promega offers automation solutions for various applications, including nucleic acid extraction, DNA quantification, and genotyping. Their Maxwell series of instruments is well-regarded in the field.
  3. Hamilton Robotics: Hamilton Robotics specializes in advanced robotic systems for liquid handling, sample preparation, and plate handling. Their Microlab series and STAR workstations are widely used in biotech labs. Check out this case study to see how these instruments were used to build an automated COVID-19 testing facility at Boston University.
  4. Beckman Coulter: Known for their Biomek series of liquid handling robots, Beckman Coulter offers versatile and reliable automation solutions for various laboratory workflows.
  5. Tecan: Tecan is a leading provider of laboratory automation solutions, including liquid handling systems, plate handlers, and integrated workstations such as the Fluent and Freedom EVO platforms.
  6. Thermo Fisher Scientific: Thermo Fisher Scientific offers a comprehensive range of laboratory automation solutions, including plate handlers, liquid handling systems, and integrated workstations like the Cytomat and Orbitor series.
  7. QIAGEN: QIAGEN provides various automated nucleic acid extraction and purification solutions, such as the QIAcube and QIAxtractor systems, broadly used in molecular biology and genomics research.
  8. Agilent Technologies: Agilent Technologies offers a diverse portfolio of laboratory automation solutions, including liquid chromatography systems, sample preparation platforms, and robotic workstations like the Bravo and VWorks series.
  9. PerkinElmer: PerkinElmer provides various automation solutions for high-throughput screening, imaging, and data analysis. Their Janus and Opera systems are used in drug discovery and genomics research.
  10. Illumina: Illumina, a leader in next-generation sequencing (NGS) technologies, offers automation solutions for library preparation and sequencing, including the NovaSeq Prep System and the iSeq library prep kits.

Personally, I like GenieLife and OpenTrons. They are newer players in the lab automation game, but I highly recommend looking into them.

6 Strategies For Increasing Your Walkaway Time

Everyone could do for a few more minutes in their day. By increasing your walkaway time, you and your team can reclaim some of your precious time to take care of important tasks.

Here are some ways to optimize your lab’s workflows and increase your walkaway time.

Process in Batches

Optimize the use of robotics by performing tasks in batches. Group similar experiments or assays together and schedule them to run sequentially or in parallel, allowing the robot to perform multiple tasks in a single run. This approach can minimize downtime and maximize the use of resources, increasing your walkaway time.

Optimize Resources

Ensure that all necessary resources, such as consumables, reagents, and samples, are readily available before initiating automated processes. Stock up on commonly used items to minimize interruptions. Implement automated inventory management systems to track and replenish supplies as needed, reducing the need for manual intervention.

Monitor and Maintain

Regularly monitor the performance of your robotic systems and automation equipment to identify potential issues or errors. Implement preventive maintenance schedules to keep the equipment in optimal condition. This proactive approach can reduce unexpected downtimes.

Create Redundant and Failover System

Implement redundant systems and failover mechanisms where possible to minimize the impact of equipment failures or malfunctions. Having backup robotic systems or spare parts readily available can help ensure continuous operation and increase the walkaway time.

Manage Data Efficiently

Implement a robust data management and analysis system to handle the large volumes of data generated during automated processes. Utilize bioinformatics pipelines and software tools to automate data processing, analysis, and reporting. This reduces the need for manual data handling.

Ensure that your digital lab platform of choice has an Open API and SDK to allow you to connect your robots and software systems. This enables you to perform complicated tasks in a multi-dimensional ecosystem and utilize AI/ML to access the data for analysis.

Get Digital…

…but do it strategically. Implementing a digital lab strategy is essential to keep your software and instruments in a connected web that drives efficient experimentation, data analysis, collaboration, and accessibility. All of this enhances the walkaway time for your instruments and facilitates the removal of manual activities like exporting data, processing raw data, and more.

Conclusion

What’s your walkaway time? If you’d like to increase it and be more efficient, try some of the steps above to make your lab more streamlined. And don’t forget about other important aspects of lab operations, including quality and precision. After all, even if your walkaway time is high, you're just wasting time and money if you’re generating low-quality, inaccurate data.

To explore how you can increase and optimize your walkaway time, schedule a free personal demo today!

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Lab Operations

How to Increase Your Lab’s Walkaway Time

Learn how to optimise workflows, monitor and maintain equipment, create failover systems, manage data effectively, and strategically implement a digital lab strategy.

eLabNext Team
Zareh Zurabyan
|
5 min read

Cyber attacks have become a significant concern for life science businesses and research organisations in today's digital world. Recently, a cyber attack on a research institution, The Kaiserslautern University of Applied Sciences in Germany, led to a complete shutdown of their IT network.

And they are not the only life science organisation to suffer such a blow to their operations: The University of Zurich had a severe cyber attack in early 2023, and many others have endured similar issues.

The problem exists across all industries, with cyber attacks increasing since 2019 – more than 300% from 2019 to 2020 – driven primarily by the pandemic and new adjustments to remote work. However, in the life sciences, where laboratories play a crucial role in scientific progress, researchers need to adopt robust security measures.

Lab heads and managers can help protect their operations by choosing software platforms that take data security into account. For those who work in digitised labs, the electronic lab notebook (ELN) software providers offer different possibilities to ensure data security. In this blog post, we will discuss the essential features to look for, the pros and cons of a cloud-based and on-premise hosting solution,  and what to consider regarding cyber security. 

Security Infrastructure and Dynamic Security Measures

A cloud-based hosting solution offers the advantage of scalable and dynamic security measures and a robust security infrastructure provided by the cloud service provider. As cyber threats evolve, cloud providers can quickly implement and update security protocols to address new vulnerabilities. This includes deploying patches, updates, and enhanced security features across their entire infrastructure, benefiting all users of the cloud-based ELN. These providers invest heavily in state-of-the-art security measures, including advanced firewalls, intrusion detection systems, and encryption protocols, which result in a comprehensive and resilient infrastructure.

With an on-premise installation, customers have more control and customization over the security infrastructure. Organisations can implement specific security protocols and access, which might be regulatory requirements when working with sensitive data. Should you decide to go for an on-premise installation, investing in and maintaining your organisation's security infrastructure is crucial. This includes regularly implementing and updating security measures, which usually require significant resources and expertise. 

Enhanced Resilience and Disaster Recovery

Another essential point to remember when choosing a hosting solution is what happens in the event of a cyber attack. How fast can you be back on your feet to continue working?

A cloud-based solution usually offers the advantage of resilience and disaster recovery capabilities. Cloud providers operate in multiple data centres across various geographic locations, which minimises the impact of a single point of failure. This ensures that even if one data centre is compromised, operations can seamlessly transition to another location, minimising service disruption.  Furthermore, cloud providers backup data automatically and regularly, allowing for easy recovery in case of data loss or system failures. Additionally, providers have dedicated disaster recovery plans and infrastructure, ensuring that services can be quickly restored after significant incidents. This relieves the organisation from managing its disaster recovery infrastructure and simplifies the data restoration process.

Given that in an on-premise solution, the customer has direct control over its hardware and infrastructure, the level of resilience and disaster recovery strategy will depend on the organisation. It is crucial for customers with an on-premise installation to implement redundant systems, backup power supplies, and failover mechanisms to ensure continued operations in case of a cyber attack. Additionally, these organisations need to have a disaster recovery strategy, which includes performing regular data backups, rigorous testing, and maintaining off-site backup facilities. 

Expert Security Monitoring and Response

Cloud-based ELN software has the benefit of security monitoring and response experts. These providers usually have a dedicated security team equipped with advanced security tools and technologies to monitor the cloud infrastructure for potential threats. This allows them to proactively identify and respond to security incidents, leveraging their experience with a wide range of clients and attack patterns. Cloud providers have also established incident response protocols to swiftly and efficiently handle cyber attack threats. In a security incident, they can quickly contain the threat, investigate the root cause, and implement necessary remediation measures.

In contrast, on-premise solutions require the organisation to establish and maintain its expert security monitoring team. This team is responsible for continuously monitoring the network, system logs, and user activities to detect suspicious or anomalous behaviour. In the event of a cyber-attack threat or breach, the on-premise security team takes immediate action to contain the threat and mitigate the damage. Since the response time and effectiveness heavily rely on the expertise and experience of the in-house team, it is important the organisation invests in hiring and training cybersecurity experts. 

A Final Word on Vetting a Cloud-Based vs On-Premise Hosted ELN

Cloud-based ELNs offer many advantages, but you and your team are responsible for carefully and meticulously investigating the security measures offered by a cloud provider and ensuring that they align with their specific security requirements and the compliance standards you need. 

One way to ensure that a cloud provider follows international standards for quality security and data protection is to check for their ISO Certifications. The most relevant ISO Certification is ISO 27001, which focuses on information security management systems (ISMS) and ensures the provider can effectively manage and protect sensitive data.

On-premise solutions offer greater control over security measures and allow you to keep sensitive data within the organisation's boundaries. Still, they pressure your organisation to build and maintain your security monitoring and response capabilities. Implementing all these measures can cost significant time and money.

Ultimately, choosing between an on-premise Installation and a cloud-based solution will depend on factors like an organisation's resources, security expertise, data sensitivity, and regulatory requirements. While on-premises solutions offer more direct control over general security measures, they also require higher resources and in-house management. On the contrary, cloud-based solutions provide convenience and potential benefits from specialised expertise but require trust in the cloud provider's security practices.

Contact us today to talk to eLabNext about your ELN and data security needs!

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Security & Compliance

How to Choose the Right ELN to Survive a Cyber Attack

Discover how cyber attacks impact life science organisations and explore essential strategies for securing data with the right Electronic Lab Notebook (ELN) choice.

eLabNext Team
Gabriela Sanchez
|
5 min read

Biofoundries are a relatively new player in biotechnology, but they’ve rapidly become hubs of innovation and scientific advancement. These multidisciplinary centres combine concepts from computer sciences, engineering, and biology to transform basic research findings into widespread societal change. With biofoundries positioned to solve global issues, including pandemic preparedness, we’ve put together the following guide on the keys to building a successful biofoundry.

Let’s start with the basics.

What is a Biofoundry?

A biofoundry is an integrated facility that combines biological, chemical biology, and engineering systems with tools like automation, high-throughput measurement, integrated data analysis, and artificial intelligence (AI) to enable feedback loops that facilitate iterative end-to-end cycles of design, build, test, and learn.

7 Guidelines for Successful Biofoundry Operations

In a multidisciplinary setting like this, you can imagine many difficulties that hinder progress can arise. Chief among them is data connectivity and ensuring that all instruments, personnel, and software communicate effectively. 

So, how do you navigate those challenges and ensure that your bio-foundry operations continue smoothly?

Often, labs throw a lot of money into purchasing the latest toys and assume that everything can be automated. But automation starts with a strong foundation of standardised practices.  Biofoundries must have an overall workflow schema that is tested and optimised before the fancy toys even enter the lab.

Here are 7 steps to building a connected, successful biofoundry.

Build an Infrastructure

Biofoundry success starts with a framework that supports all personnel, equipment, and software. When creating your infrastructure, consider the following:

  • Standardisation: As simple as developing naming conventions for samples, services, equipment, projects, and programs is, it can go a long way in setting the stage for your biofoundry to grow into a functional ecosystem. Standardisation plays into how you manage your data, accessibility, and collaboration between departments and teams. 
  • Scalability: You’re not just planning for now but five years from now. What will the new liquid handling robots look like, and what new functionalities will they have? How can AI and ML be used for data analysis based on how you collect your data? More importantly, what do your organisation's needs look like now and in the future? If one robot breaks and a new one comes in, or one lab tech leaves and another one comes in, how short will your downtime be, and how fast will you be able to get back to full speed? Think about whether or not you’ll be able to expand your workflows and instruments as you grow.
  • Interdisciplinary expertise: The future is collaborative. And so is the present. Traditionally, chemists and biologists worked separately. It is the same for IT folks, computational biologists, and bioinformaticians. Each individual must have interdisciplinary expertise to work with people from different research backgrounds. Personnel must also have exceptional project management skills to ensure no data loss and full ownership of projects. 

Spend Strategically

Fancy robots cost a lot of money. Be sure to evaluate your biofoundry’s values. Do you need to pay for that liquid handler that is accurate to within 0.000001 mL? If so, make it a strategic purchase, as part of your business plan. 

If not, there are many other reliable and less expensive robots out there that can get the job done for you. 

Other budget considerations include:

  • Training and education: There will be a constant need to train and educate. A strong budget for these initiatives is essential for your organisation's and personnel's continued growth.
  • External services and collaborations: Developing relationships with business partners like DNA sequencing companies or custom manufacturers will enable your biofoundry to expand capabilities and increase efficiency.
  • Office and lab space: Using Boston as an example, lab and office space in Kendall Square is pretty saturated, and the cost of office space is extremely high. It is important to consider the location for biofoundry positioning, client generation, staff travel, and more. In Boston specifically, Watertown, Woburn, and Natick have emerging biotech scenes with 40% less associated cost, so considering other areas outside of the “limelight” may be in your budget’s best interest.

Follow Regulatory Guidelines

GxP or 21CFR Part11 compliance might not be necessary for your lab; however, ensuring you don’t step out of compliance will bring more trust and accuracy to your workflows.

Compliance with specific regulations can also open inroads to fruitful collaborations. Consider GDPR, CLIA, and HIPAA compliance to attract partnerships with hospitals and other healthcare companies. 

Forge a Tribe with a Culture of Collaboration

As remote work has taken over, prioritising company culture has fallen by the wayside. People are getting fired on Zoom and sending passive-aggressive emails about a minor conflict when a face-to-face conversation over coffee will do. Thoughtful and conscious communication has disappeared. But in a multidisciplinary environment, like a biofoundry, openness to transparent communication must be in the organisation's DNA. 

Establishing stand-up meetings, consistent training regimens, and facilitating a culture of incentivized ideas and suggestions will go a long way. There are always great ideas for optimization that frequently get lost in the mix due to poor communication or fear of rejection. 

Communication about operations can also be streamlined and clarified through digital platforms, where workflows and protocols can be accessed, tracked, and updated to maintain and optimise biofoundry performance.

Adjust to New Tech and Evaluate

We frequently mistake looking at a period of plateau in performance as a “good enough” result when, in reality, it is just short-term stability. In the age of AI/ML, where software and robotics are updated a minimum of 4 times a year, training, educating, and motivating staff to stay updated with the latest technologies is essential. This encourages a culture of constant improvement and experimentation. But, be sure to evaluate how these adjustments affect your performance: If a new tool isn’t suiting you, move on and look for another solution.

Optimise for Walkaway Time

One of the most underestimated tools in biofoundries is automation. Your robot may be fancy, but if you have to tend it every 5 minutes or don’t trust its performance, then you’re not using automation to its full potential. Measure the success of your automation based on the time you can use your instrument with confidence that a protocol will run precisely as you intend. 

Develop a Data Strategy

The most important aspect of biofoundry automation is developing a digital lab and data strategy. In short, that means how you will digitise your biofoundry’s operations.

Defining a strong sample strategy (i.e., A systematic plan for handling, processing, and analysing samples) right from the beginning is imperative to successful lab operations. Next, consider the data that will be generated from sample analysis.

Key questions include: 

  • What instruments will be used to generate data? Are they ISO certified, secure, and compliant?
  • Does your digital platform (e.g., ELN, LIMS, etc.) have an open API/SDK for integrations and data analysis? Can it integrate with your favourite robots and other software you use in the lab?
  • Is your platform future-proof?  Will you outgrow it once you scale operations?

Conclusion

In an article in Nature about Flagship Pioneering (an early backer of Moderna), the consensus is clear: Biotech innovators derive numerous benefits from software that connects their operations. Digital lab platforms that enhance collaboration between chemists, biologists, bioinformaticians, and other biofoundry personnel are becoming the norm in our post-pandemic world.

And the benefits are tangible. Flagship Pioneering’s Aram Adourian says, “In our groups, experiments are often planned between wet lab teams and computational teams, enabling a sort of iterative, back-and-forth optimization process to address the biological questions at hand.” 

In a biofoundry, this is the fabric that holds everything together! 

To find out more and get a detailed free consultation on managing your biofoundry better and defining its Digital Lab Strategy, schedule a personal demo today!

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Sample Management

The Life Scientist’s Guide to Building a Successful Biofoundry

Learn essential steps including infrastructure building, strategic spending, regulatory compliance, collaboration culture, tech adaptation, data strategy, and more.

eLabNext Team
Zareh Zurabyan
|
5 min read

Labs and organizations never skimp on developing a solid, well-researched business strategy. 

However, the starting point for data, intellectual property, and scientific publications – biological and/or chemical samples – are often ignored during strategic planning meetings,  falling by the wayside as a byproduct of overall lab operations. 

With the introduction of the Sample Strategy, this is changing. Here, we present to you a new perspective on lab operations, where Sample Management becomes the foundational fabric of the lab, enabling the future-proofing of operations. 

Let’s start with what a sample strategy is.

What is a Sample Strategy?

In a laboratory setting, a sample strategy refers to a systematic plan for handling, processing, and analyzing samples. It involves defining a study's objectives, determining the type and number of samples required, and establishing the appropriate collection methods, storage conditions, and handling protocols. A well-designed sample strategy ensures the reliability and reproducibility of experimental results, minimizes potential biases, and maximizes the efficiency of laboratory resources.

To help you formulate your sample strategy, let’s focus on some key questions to consider throughout the lifecycle of a sample.

Sample Selection

This involves determining the appropriate type and number of samples to be collected. It considers factors such as the purpose of the study, the environmental, biological, or chemistry specimen being sampled, and any specific criteria or guidelines that need to be followed.

Key Questions

  • What are your sample types?
  • What are the metadata fields that you keep track of?
    • Date of the collection? 
    • Sequence
    • Passage number
    • SMILES code
    • GeneBank file
  • What files, images, and references must be linked to your sample? 

Sample Collection

This step involves physically obtaining the samples according to pre-determined protocols. It may include techniques such as sampling from a larger batch, using specialized equipment or instruments, or following specific procedures to ensure consistency and accuracy.

Key Questions

  • Are you using automation-like scanners, QR Codes, mobile apps, and/or pre-barcoded tubes for collection? 
  • Do you plan on labeling your samples after the fact? If so, which printers are you using?
  • Can you easily collect, move, and update your samples? 

Sample Storage

Proper storage of samples ensures long-term stability and maintenance of sample integrity. It can involve sample dilution in a new buffer, cryoprotectant, or lyophilization before storage. In addition, the temperature and storage container are both considerations for your sample strategy.

Key Questions

  • Where are you physically storing your samples (e.g., fridge, freezer, cryotank, etc.)
  • Where are you storing digital information associated with your samples?
  • Do you monitor the temperature and the viability of your samples? 

Sample Handling

Proper handling of samples is also crucial to maintain their integrity and prevent contamination or degradation. This may include labeling, preservation, storage conditions (e.g., temperature, humidity), and transportation considerations. Adhering to standard operating procedures (SOPs) is important to maintain the quality of the samples.

Key Questions

Sample Preparation and Protocol Management

Depending on the analysis required, samples may undergo certain preparation procedures before testing. This could involve sample grinding, dilution, extraction, filtration, or other techniques to make the samples suitable for analysis.

Key Questions

  • What SOPs are you using to prepare and process your samples?
  • Is there a clear version control of your protocols and an approval process?
  • Are your prep assays standardized and auditable? 
  • What instruments will you be using, what will be the output files of your samples, and how do you plan on analyzing that data? 

Documentation and Recordkeeping

A comprehensive sample strategy includes proper documentation and recordkeeping throughout the entire process. This includes recording sample information, collection dates, handling procedures, deviations or incidents, and other relevant data.

Key Questions

Do you have a proper Electronic Lab Notebook (ELN) to reference the sample-related experimental design and data analysis? 

Analysis Plan

The sample strategy also encompasses an analysis plan outlining the methods, techniques, and instruments to analyze the samples. It may include specific testing protocols, quality control measures, and data analysis approaches to ensure accurate and meaningful results.

Key Questions

  • What software do you use to analyze your large CSV files?
  • Do you use AI and ML for your sample data analysis? 
  • Do you have a long-term data analysis plan?

Conclusion

Samples go through a predictable life cycle and have a lifespan – just like our cars, lab equipment, and bodies! You must oil your car, calibrate your instruments, and have a healthy diet and exercise regimen to maintain everything properly! 

Samples are no different. A successful lab must have a short- and long-term strategy for its samples, from collection to analysis and beyond. 

We are here to assist you with that. If you’d like to find the best answers to the questions above, schedule a free personal demo today!

Note: Consider looking into Sample360 – this will help you to define a Sample Strategy while incorporating your lab’s instruments into the mix!

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Sample Management

Sample Strategy: A New Perspective on Lab Operations

Learn how to elevate sample management to the core of your laboratory, ensuring data integrity and future-proofing your operations.

eLabNext Team
Zareh Zurabyan
|
5 min read

Companies in the life sciences often discuss Business Strategy and R&D Strategy, focusing primarily on creating value and gaining an edge over their competition. 

But we rarely discuss a newer type of strategy: Digital Lab Strategy, which has become a foundational pillar for a successful organisation. The number of software and instruments that deal with raw data analysis, collaboration, and accessibility is now massive and an immediate need of day-to-day laboratory operations. 

So, if developing a Digital Lab Strategy is at the bottom of your to-do list, you may be setting yourself up for failure.

Digital Lab Strategy has revolutionised the industry by allowing labs and research facilities (and most likely your competitors) to drive innovation and digitalisation. In this blog, we will discuss why labs need a comprehensive Digital Lab Strategy and how you can implement it to accelerate performance and achieve better results. 

Digital Lab Strategy: A Multi-Faceted Solution for the Life Science Industry

Whether navigating the road to FDA approval, applying for grants, and/or publishing research papers, there is generally a rough strategy that will help you achieve your goal. This may include hiring the right people, choosing the suitable therapeutic modality or target, developing the proper internal team hierarchy, identifying partners from other organisations, outsourcing animal studies to skilled collaborators, and attracting investors or grants to give you the money to achieve all of the above. 

Previously, digital solutions were just some of the many tools used to achieve these goals.

Nowadays, however, they define the strategies, set the pace and timelines, and serve as a unique selling point for collaborators and investors.  

For example, an un-digitised biotech start-up may appear not to be keeping up with times or keen on moving forward by a potential investor, regardless of how revolutionary their IP might be.  

But, Digitalisation is Difficult…

Countless barriers stand in the way of organisations developing and implementing a Digital Lab Strategy.

For Big Pharma companies, the problem is being “too digital.” One of the biggest problems is having decentralised data and using many digital tools. This leads to a loss of data and longer data analysis periods.

In Academia, the problem is a bit different. Labs and PIs are rushing to get grants and churning out publications in an environment with a rapid churn of personnel. This makes it difficult to formulate a sustainable digital foundation and leads to repeating old experiments, losing samples, and a slower research pace.

In healthcare, the lack of digital lab strategy is primarily due to using ancient, in-house systems. For example, an older Laboratory Information Management System (LIMS) can be inconsistent and not very user-friendly, and it can experience issues with data updates. Taken together, this makes scientists apprehensive about using it. Decentralising data in different digital tools and creating a sustainable ecosystem becomes a headache for scientists working in the industry.

Your Digital Lab Strategy Checklist

To prevent these issues and inconsistencies, having a Digital Lab Strategy is integral for all labs and research facilities. Digitaliasation is multi-faceted, and there are a lot of different parts of lab operations where it can be integrated. To help you prepare a comprehensive digital lab strategy, we have provided a checklist for further guidance:

General Sample Strategy

  • Make a list of all the sample types that you are working with
  •  Develop a suitable naming convention, and determine if you will be able to scale using your current system
  •  Make a plan regarding storing, tracking, accessing, and analysing samples
  •  Conduct temperature monitoring; check if you have reliable sensors for your incubators and freezers
  •  Label and secure your prepared samples. Check if your labelling needs can be easily digitalised into your current system

General Inventory Strategy

  • Check the equipment you are currently using, and see if you are keeping track of their calibration/validation schedules
  •  Determine how you are tracking the equipment usage
  •  Analyse the supply and ordering management you are currently using. Make a note if there are any persistent issues or concerns due to backorder
  •  Barcode your inventory
  •  Ensure that you have an automated workflow

SOP Tracking and Development Strategy

  • Control all your protocols and procedures 
  •  Develop clear ownership of protocols, and create proper collaboration tactics
  •  Check if there is an approval process involved in the audit trail
  •  Determine if your protocol development integrates and positively influences your sample and experimental design management

Data Reporting and Experimental Design Strategy

  • Check if a digital project management strategy is in place, such as program coding, naming conventions, collaboration hierarchies, etc.
  •  See what tools you use to manage your general projects/tasks, and specify your experiments and lab reports 
  •  Clearly define lab report lengths and the format in which they will be completed (e.g., how are results written for easy access and translation)
  •  Ensure that everything is standardised and that everyone is developing their own result structure
  •  Implement a proper handoff system in place between colleagues and departments
  •  Maintain proper correspondence about data transfer and management with the automation team

Automation Strategy

  • Utilise instruments and software that can be integrated with other systems
  •  Optimise your walkaway time

Customization and Integration Strategy

  • Check if the systems you are using are capable of integration using an open API
  •  Check if the system has a Developer Hub
  •  See if you have an easily accessible Software Developer Kit (SDK) to make your own customisations
  •  Assess if you can integrate the system with your robots and other instruments
  •  Check if you have all the desired software and if integrating with them is a possibility

General IT and Digital Security Compliance

  • Decide if you want to outsource the IT services or hire an in-house team
  •  Ensure you have the expertise and training to manage the servers internally
  •  Check your internal security standards

Compliance with Different Regulatory Environments

  • GxP
  •  HIPPA
  •  GDPR
  •  21CFR Part11
  •  CLIA 

Data Science Strategy

  • See if you will be using AI and ML solutions, and if so, what are your guidelines 
  •  Check which analytical techniques (e.g., multi-omics, image, flow cytometry, etc.) you will base your research strategy on 
  •  Decide if you have plans to scale the business 
  •  See if you have plans to participate in continuous data analysis or do you plan to shift direction 

Overall Digital Strategy

  • Determine your 3-year plan. For example, how many robots you’d like to integrate, what other integrations you’d like to have, and with which systems
  •  Pay attention to your long-term strategy. Decide how you will mine and analyse all the data that you have gathered over 5 to 10 years
  •  Think about the hiring trajectory and whether you have resources to train your staff, promote a culture of innovation, and continuously grow in the current space 

Conclusion

In conclusion, Digital Lab Strategy is now “in the DNA” of all labs and trickles down to the research and business strategy rather than the other way around. The sooner an organisation embraces digitalisation, the quicker it can pivot in the right direction. It is anticipated that labs that uphold strict and standardised digital protocols and adopt AI and ML will be leaps ahead of their competition. This pattern can already be observed with the current customers. 

If you are ready to strategise about your digital lab journey, get in touch with us today!

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Digitalization

Digital Lab Strategy: A Comprehensive Guide to Master Lab Digitalisation and Influence Innovation

eLabNext Team
Zareh Zurabyan
|
5 min read

In 1977, researchers designed an experiment to test whether lab safety symbols are effective in capturing people's attention when they’re engaged in a task.

The researchers observed 100 students using hammers in a laboratory setting. Of these students, not a single one even noticed the warning labels the researchers had placed on the hammers. The researchers concluded that warning labels — especially those on familiar objects — are often filtered out and ignored.

If you’re responsible for overseeing laboratory safety at your organization, you probably didn’t need a research paper to tell you this! Even so, this experiment illustrates why reinforcing basic lab safety symbols is so important, even for experienced lab safety professionals.

Below, we’ve compiled a list of some of the most common lab safety symbols and their meanings to review with your employees — along with some interesting facts that will help you keep their attention:

1. The General Warning Sign

Perhaps the most recognizable lab safety symbol is the General Warning Sign. This ubiquitous sign, which features an exclamation point on a yellow triangle , can signify a variety of general hazards.

Its simple yet distinctive design, which dates back to early traffic safety efforts, is intended to quickly capture attention and signal caution. Today, the General Warning Sign is used in many different contexts, from roadways to workplaces, labs, public spaces, and consumer products.

In the laboratory setting, the General Warning Sign alerts individuals to a variety of general hazards like slipping, falling objects, electrical hazards, and other non-specific risks. Its presence serves as a visual cue to remain vigilant and take appropriate precautions in the face of potential dangers.

2. The Biohazard Symbol

The Biohazard Symbol was created in 1966 by Charles Baldwin, an environmental engineer at the Dow Chemical Company. Baldwin was commissioned to develop a symbol that would effectively communicate the presence of biological specimens that could pose health and safety hazards, such as blood or bacteria.

The resulting symbol consists of a circle with three interlocking arcs forming a trefoil pattern. This design was chosen because it was simple, easily distinguishable, and not likely to be confused with other common symbols. The trefoil shape represents potential hazards from infectious agents or other biological materials.

Since its creation, the Biohazard Symbol has become a universal warning sign and is widely used to alert people to the presence of biohazards in various settings, such as labs, hospitals, and hazardous waste storage areas. Individuals who encounter this symbol are reminded to use appropriate personal protective equipment (PPE) like gloves, masks, and gowns to prevent potential contamination.

3. The Explosive Materials Symbol

The Explosive Materials symbol features an exploding bomb inside a red diamond. The color red is associated with danger and serves to draw immediate attention to the presence of explosive substances or volatile materials that have the potential to cause serious harm if not handled properly.

The explosive materials symbol is used in various contexts, such as transportation, storage, and manufacturing of explosive materials to alert workers, emergency responders, and the public to potential dangers.

While the symbol is commonly associated with explosive materials, it can also indicate the presence of other hazardous substances, such as self-reactive substances, organic peroxides, and chemicals that can release explosive gases when heated or subjected to shock. Labs that handle these substances should implement stringent policies for fire and explosion safety to ensure a safe working environment.

4. The Flammable Materials Symbol

Around the mid-20th century, a number of high-profile industrial accidents underscored the importance of fire safety measures and the need for standardized symbols to communicate hazards effectively.

This led to the development of the Flammable Materials symbol, which consists of an image of a flame inside a red diamond. Its purpose is to visually indicate the presence of flammable materials or substances that are highly combustible and pose fire hazards if not handled properly.

The Flammable Materials symbol plays a crucial role in promoting safety in labs, workplaces, and other environments where flammable substances are present. Its recognizable design serves as an essential warning sign, reminding individuals to exercise caution and follow safe handling and storage practices when dealing with flammable materials.

5. The Toxic Materials Symbol

Few symbols are as instantly recognizable as the Toxic Materials symbol, with its ominous skull and crossbones design. The symbol's origins can be traced back to pirate flags, where it became a popular emblem to represent death and danger.

By the 1800s, the skull and crossbones had come to be associated with poisonous or deadly substances. Then, in 1829, the state of New York passed a law requiring the labeling of containers holding toxic materials. The skull and crossbones symbol began to appear on these labels to alert individuals to the dangers of touching, inhaling, or ingesting these substances.

Today, the skull and crossbones design serves as a universal warning sign on consumer products and in labs and workplaces, playing a crucial role in flagging potential hazards and reminding individuals to use appropriate PPE when handling these substances.

6. The Non-Ionizing Radiation Symbol

Unlike the Ionizing Radiation symbol, which is frequently depicted in sci-fi scenes involving radioactive materials or nuclear power, the Non-Ionizing Radiation symbol finds practical application in everyday situations where non-ionizing radiation is used regularly.

This symbol is commonly seen in real-world settings such as labs, warning individuals about potential exposure to non-ionizing radiation from devices like heat lamps and lasers. Its presence in these settings aims to promote safety awareness and encourage individuals to take appropriate precautions when using devices that emit non-ionizing radiation.

The Non-Ionizing Radiation symbol typically features a yellow triangle with waves inside it, representing different types of non-ionizing radiation such as microwave, radio, infrared (IR), and ultraviolet (UV) frequencies. The symbol's simple and intuitive design ensures that it can be understood across language barriers, making it an effective visual cue to communicate potential radiation exposure clearly and universally.

7. The Low Temperature Symbol

As safety regulations and awareness have increased, so has the demand for standardized safety symbols in labs and industrial workplaces. This has led to the development of symbols like the Low Temperature symbol, which helps individuals avoid potential hazards associated with extreme cold conditions.

The Low Temperature symbol typically features an image of a snowflake, indicating low temperatures or cryogenic hazards. It is often seen on equipment like ultra low temperature freezers used to store biological samples or reagents, or storage tanks used for liquid nitrogen and other cryogenic substances.

The presence of the low temperature symbol on these items and equipment serves as a reminder to lab personnel that special precautions like rubber gloves and aprons, face shields, and closed toe footwear should be used to avoid frostbite or other potential hazards associated with extremely cold temperatures.

Final thoughts

The meaning behind these seven basic lab safety symbols isn’t rocket science. In fact, they’re intentionally designed to be quite obvious. However, it’s easy for even experienced professionals to become complacent.

Bill, a lab safety expert at SciShield, cites the ‘no food or drink in the lab’ rule as a perfect example. Even though the rule is prominently displayed on door signs and within the labs, there's a tendency to neglect it — especially when desks are present in the lab environment.

“People tend to consider their desks as sanctuaries from the rules,” explains Bill. “In one instance, a user grabbed their coffee mug and ended up with a slight chemical exposure to their face."

Reinforcing the meaning of common laboratory safety signs through regular training, including stories that illustrate the importance of these warnings, is one way to remind individuals to remain attentive. But labs are ever-changing environments that require constant vigilance to stay ahead of potential hazards.

This is where innovative lab safety solutions like SciShield come into play. SciShield’s digital lab safety solutions, including RFID chemical inventory management, SDS software, and digital lab door signs, can help you better understand where people are working within your organization and what hazards they’re exposed to so you can proactively enhance safety measures. For more information and to explore how SciShield can complement your safety and compliance efforts, request a consultation with our team.

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Community Hub

7 Basic Lab Safety Symbols & What They Mean

Discover the meanings behind 7 basic lab safety symbols and why they're crucial for a safe lab environment. Stay informed, stay safe with SciShield.

eLabNext Team
Christine Lellis
|
5 min read

Whether in a small academic lab or part of a large team in a big pharma lab, managing and storing hazardous or potentially infectious substances are crucial for personal safety and environmental protection.

Whilst improper chemical storage can lead to serious incidents like fires, chemical burns, or even glass vessel ruptures, recent events, such as the fear surrounding the possible lab origin of SARS-CoV-19, provides a stark reminder of the importance of the safe and effective storage of viruses to prevent any potential risks to public health and safety.

In this blog, we'll explore best practices for safely and effectively handling chemicals and viruses in the laboratory. Equipping yourself with this knowledge can create a safer, more organised, and more secure working environment. By no means are the laboratory practices listed here a comprehensive list, so please consult with your EH&S supervisor to ensure that your lab fully complies with your organisation's safety regulations within the country you operate in. If you operate in multiple countries, consider adopting the highest standards from each to create a global standard that can be used in every country.

Best Practices for Chemical Management

Chemicals are widely used in various life science and pharmaceutical applications for research, product development, and production. However, improper storage of chemicals can lead to serious accidents such as explosions, fires, and toxic gas releases. Therefore, it is essential to store chemicals safely and efficiently to prevent accidents and ensure the safety of your lab personnel.

Here are some best practices and tips for safely and efficiently storing chemicals.

Choose the Right Storage Location

The location of the chemical storage area is critical to ensure the safety of the workers and the environment. The storage area should be located away from ignition sources, such as flames, sparks, and electrical equipment. It should also be located away from direct sunlight, moisture, and extreme temperatures.

The storage area should also have adequate ventilation to prevent the accumulation of toxic fumes or gases. In addition, the area should be well-lit and have clear labels indicating the type of chemicals stored and their hazards.

Use Appropriate Containers

Chemicals should be stored in appropriate containers compatible with the chemical being stored. For example, acids should be stored in acid-resistant containers, while flammable liquids should be stored in grounded, explosion-proof containers. Chemicals should never be stored in food or drink containers or unmarked containers.

It is also essential to label all containers with the name of the chemical, its hazard class, and any other relevant information, such as the date of purchase, date of opening, and expiration date.

Segregate Chemicals

Chemicals should be segregated based on their compatibility to prevent accidental reactions. For example, acids should be stored separately from bases, and oxidising agents should be held separately from flammable substances.

Store Chemicals According to Hazard Class

Chemicals should be stored according to their hazard class. The four main hazard classes are flammable, corrosive, toxic, and oxidising. Flammable liquids should be stored in a cool, dry, well-ventilated area away from ignition sources. Corrosive chemicals should be stored in a dedicated storage area with a spill containment system.

Toxic chemicals should be stored in a secure area with limited access, and oxidising agents should be held separately from flammable materials.

Train Employees on Safe Chemical Handling

All employees who handle chemicals should be trained in safe chemical handling practices. This includes proper handling and storage procedures, personal protective equipment (PPE) requirements, and emergency response procedures. In addition, employees should be trained to read and interpret chemical labels and safety data sheets (SDS).

Implement a Chemical Inventory System

A chemical inventory system should be implemented to keep track of all chemicals in storage. The inventory system should include the name of the chemical, quantity, location, hazard class, and expiration date. The system should also have a method for safely disposing of expired or unwanted chemicals. eLabInventory is an example of an inventory management system that can be employed as a chemical inventory system (or similar). We should be aware that we currently cannot provide hazardous labelling in the system.

Best Practices for Virus Management

If you're in a laboratory that deals with viruses, then being aware of the proper safety and containment procedures is incredibly important. This reduces the risk of lab personnel being accidentally infected or spreading the infection outside the lab. Here are some commonly used methods to effectively manage the risks of working with viral pathogens.

Storage

Viruses can be stored frozen at extremely low temperatures, typically -80°C or colder, using cryoprotective agents to prevent damage from ice formation. This method is commonly used for long-term storage and can preserve virus viability for decades. Another storage method, lyophilization (also known as freeze-drying), involves removing water from the virus, leaving behind a stable, dry product. The virus is frozen, and a vacuum is applied to remove the water, preserving the virus for an extended period. This method is often used for short-term storage and transportation.

Containment Measures and Equipment

Prioritise containment measures to minimise exposure and infection risks. Utilise primary barriers, such as biosafety cabinets (BSCs) and enclosed containers. This will help prevent the release of infectious aerosols during manipulative procedures.

Design laboratory facilities with secondary barriers to protect personnel and the environment. Regularly maintain and inspect laboratory equipment to prevent malfunctioning that could lead to accidental virus release. Emphasise the importance of good microbiological techniques and specialised safety practices in handling emerging viruses safely.

Personal Protective Equipment (PPE)

Enforce the proper use of Personal Protective Equipment (PPE) when working with viruses. Ensure laboratory personnel wear appropriate gloves, gowns, face shields, and respirators, depending on the specific tasks and potential exposure risks.

Provide training on how to don and doff PPE correctly to minimise the risk of contamination. It is essential to fit-test all respirators to ensure a proper fit and consider vaccination as an additional precaution to enhance personal protection.

Biosecurity Measures

Implement robust biosecurity plans to prevent emerging viruses' unauthorised release and misuse. Conduct risk assessments and identify potential threats, vulnerabilities, and countermeasures specific to the laboratory facility.

It may also be necessary to involve specialised working groups comprising scientists, administrators, security staff, and law enforcement when necessary. Focus on physical security, personnel security, material control, transport security, and information security to safeguard against bioterrorism threats.

Conclusion

The safe and efficient management of chemicals and viruses in laboratory settings is paramount to ensure the well-being of laboratory personnel and protect the environment. Improper chemical storage can lead to hazardous incidents, while mishandling viruses can pose severe risks to public health. Part of adequate chemical inventory and virus sample management is tracking what’s in stock, where samples are, and all associated metadata.

The eLabNext digital lab platform can provide a simple, secure, and safe solution for your chemical and virus management needs.

Sign up for a personal demo of our platform today!

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Sample Management

Safe and Efficient Storage of Chemical and Virus Samples

Learn how to prevent accidents, ensure personal safety, protect public health, and see how eLabNext can help.

eLabNext Team
Chris Austin
|
5 min read

Biotech is an industry characterized by ebbs and flows. 

Currently, we’re experiencing an exciting growth phase with the rapid increase of artificial intelligence (AI) and its potential applications. The intersection of AI and biotech holds immense promise, offering opportunities to make significant biological advances. This growth has changed the VC funding landscape in new and exciting ways and presented new challenges for biotech startups.

In this blog post, we will explore the current state of venture capital (VC) funding in the biotech sector, how you can best navigate the funding landscape, and the future of biotech.

The Promise of AI in Biotech and How its Affecting VCs

AI's ability to process vast amounts of data and identify patterns has opened new avenues for biotech innovation. With the integration of predictive and generative AI, researchers can streamline drug discovery processes, identify potential targets, and accelerate clinical trials. 

The growing optimism surrounding AI's potential to revolutionize the field has attracted attention from investors seeking to capitalize on this transformative technology.

While seed funding in biotech ventures has remained relatively stable, there’s been a decline in series A and late-stage funding. This shift suggests a more cautious approach among investors in funding companies as they progress through their development stages. 

What Investors Want

Investors are seeking companies that can achieve significant milestones with minimal resources, promoting a lean and cost-effective approach to operations. Consequently, biotech startups must adopt strategies prioritizing efficient resource allocation while pursuing breakthrough innovations.

Moreover, the investment community has become more risk-averse. Investors are exhibiting a preference for ventures that balance ambition with a solid risk management strategy. This shift underscores the need for startups to demonstrate a clear understanding of their market, addressable challenges, and potential regulatory hurdles to gain investor confidence.

Startup Challenges and Solutions

As a result of these changes in investment behavior, early-stage biotechs need to focus on capital efficiency and quickly demonstrate a unique value proposition to secure short- and long-term funding. 

But how? Most biotech startups require substantial R&D investment to generate promising data, and overspending can strain a company's resources, hindering growth. Therefore, managing liquidity and reducing volatility are critical factors if a startup wants to be around in a year.

Here are three tips for managing your money and your risk efficiently.

Tip #1: Diversify Funding Sources

The involvement of diverse investors is crucial for the growth and stability of the biotech sector. With new biotech funds being announced often, the industry is witnessing an infusion of capital from different sources. 

This diversity broadens the pool of available funding and brings a range of expertise and perspectives to the table. To ensure continued funding, startups should actively seek investment opportunities that align with their long-term goals and forge strategic partnerships to maximize their chances of success.

Tip #2: Explore Tax Benefits and Stay on Top of Shifting Regulatory Requirements

Startups should explore the Qualified Small Business Stock (QSBS) tax benefits, as these incentives can provide significant advantages in fundraising and capital management. These include tax savings, employee incentive programs, financial flexibility, and more. 

Additionally, staying informed about regulatory changes and incentives within the biotech sector can help companies leverage favorable conditions and navigate potential challenges. For example, cell and gene therapies have significant potential to revolutionize medicine. Yet, developing and producing these products requires new technologies, and regulatory agencies must evaluate and provide clear guidance for the huge group of companies looking to translate their pre-clinical candidates into the clinic. 

Tip #3: Scalable Solutions with AI

As biotech problems become increasingly complex, the demand for sophisticated technological solutions rises. Fortunately, advancements in AI and related technologies offer new solutions and insights. In the life sciences, AI is broadly applicable, from agriculture to medicine. The inherent scalability and adaptability of these solutions can help tackle the growing complexity of biological challenges, driving significant breakthroughs in the near future. AI can help startups de-risk and be more cost-efficient by creating a shorter path from data to insights.

The Future is Bright

The anticipation of an interest rate decrease announcement in 2024 signals a potential growth year for the biotech industry and a bright future that could foster innovation and more investment. However, companies should remain agile and adaptable to evolving market conditions while also being mindful of long-term sustainability.

Biotech is currently at the intersection of technological advancements and investment opportunities. With AI's increasing prominence and potential to catalyze breakthroughs, the field holds immense promise. The biotech sector is undergoing a transformative phase, fueled by advancements in AI and the possibility for innovation. Biotech startups can position themselves for success by efficiently navigating the funding landscape, managing risks, and embracing technological solutions. 

To find out how you can harness the power of AI at your startup, book a demo of eLabNext’s digital lab platform today.

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Lab Operations

3 Tips for Navigating the Biotech Venture Capital Funding Landscape: Current Trends and Future Outlook

eLabNext Team
Frederik Milling Frederiksen
|
5 min read
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