Zareh Zurabyan

The Future of Gut Health: How Digital Tools Are Leading the Way

With the support of digital tools and AI, the future of microbiome-based health interventions promises to be bright. Learn more.

2025 EHS Trends for the Life Science Industry

The biotech industry is experiencing a significant transformation in EHS practices due to advancements in technology. See how digitization is helping labs keep up.

Digital Transformation in Biology: The Ultimate Guide to TechBio

Discover how TechBio is transforming life sciences by merging biology with AI, data architecture, and software engineering.

Digital Tools for Safer and More Sustainable Life Science Labs

Learn how digital tools, like Scientific Management Platforms (SMPs) enhance safety, sustainability, and efficiency in life science labs.

Repairing Reproducibility: Fixing Digital Chaos with Better Infrastructure

Learn how digital chaos and Franken-stack’s are making the reproducibility crisis in the life sciences worse and how a unified platform can change everything.

What’s Going on in My Lab: 8 Ways to Use Lab Report Summaries

From sample integrity to data analytics, learn how to optimize your digital lab strategy for enhanced productivity and knowledge management.

What To Look For In A Sample Management Platform

Using ChatGPT Wisely with Your Lab Work

Start utilising AI wisely for enhanced productivity and scientific insight in your biotech and pharma endeavours.

Top 6 Questions for Choosing the Right Biobanking LIMS Software

Choosing the appropriate platform for your needs can positively impact your biobanking operations. Therefore, it’s vital to ask critical questions when evaluating biobanking LIMS providers.

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.

This Incubator is Tackling “Tough Tech”: An Interview with The Engine

Discover the cutting-edge world of Tough Tech as we delve into an insightful interview with The Engine, an incubator for biotech startups.

The Role of Human-Centric AI in Biotech Laboratories

The Beginner’s Guide to Managing an Antibody Collection

Solving Laboratories’ Decentralized Data Problem

In this article, we explore seven key issues with decentralized data, including data integrity, security, accessibility, standardization, and more.

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.

Project Management: Less is More

Discover how to streamline your lab project management with a 3-layer hierarchy system, from Projects to Studies to Experiments.

Pitfalls of AI in Life Science Laboratories

From data quality to ethical considerations, learn how to navigate AI challenges while optimising integration for enhanced lab operations.

Introducing the Digital Lab Platform: What it is and Why it Beats One-Dimensional Software Solutions

How to Smoothly Transition from a Limiting and Problematic ELN/LIMS

Discover the transformative power of a Sample and Digital Strategy, and follow our 5 easy steps to prep for a seamless ELN/LIMS transition.

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.

How to Build, Manage, and Analyze Your Plasmid Library

Learn more about the common plasmids used in the life science space and best practices for building, maintaining, managing, and storing a plasmid library.

GxP Regulatory Guidelines - GLP and GMP Compliance for Electronic Laboratory Notebooks (ELNs): A Powerful Primer

Complying with GxP compliance guidelines requires rigorous documentation, but unregulated environments can have detrimental effects.

Employee’s Freezer Accident Results in Loss of 25 Years of Research Samples: Lab Safety Rules and Procedure

Discover the importance of digitalisation in protecting laboratories against unpredictable events and minimising the impact of sample and data loss.

Digitizing Your Lab, One Sample at a Time

From inventory assessment to quality control measures, learn how to digitize your lab effectively, one sample at a time.

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

Democratizing the Digital Tools for Biotech: The Power of eLabNext Developer

Discover how eLabNext Developer democratizes access to digital tools, creates a marketplace for plug-ins, fosters community engagement, and offers unparalleled customization.

Biotech Software: To Build or Not to Build, That is the Question…

Explore the evolution of biotech software trends and uncover the advantages of subscribing to biotech SaaS platforms.

Benefits and Drawbacks of Generative AI in Biotech

Explore the benefits and drawbacks of integrating generative AI into biotech research and development.

Avoiding Legal Complications Through Lab Digitalisation

Dive into the risks associated with un-digitalised operations, including data security concerns, documentation challenges, data management issues, and compliance hurdles.

7 Great Leadership Qualities to Drive Your Lab’s Digital Transformation

Leaders can come from anywhere within an organisation in the life sciences, where innovation and adaptation are essential.

6 Electronic Lab Notebook (ELN) Adoption Barriers and How to Overcome Them

Discover the Electronic Lab Notebooks (ELNs) adoption barriers and learn effective strategies to overcome them revolutionizing your research process.

5 Operational Challenges for Biobanks

Explore the operational challenges faced by biobanks, from managing sample quantity to ensuring data security and disaster preparedness.

10 Reasons You Should Digitise Your Lab Operations

Now more than ever, life scientists use digital tools to speed up timelines, work in a decentralised way, and keep data secure.

10 Actionable Steps for Using AI in Your Research Lab

As more and more labs and organisations dip their toes into AI algorithm implementation, ensuring clear documentation, reporting, and analysis is critical.