AI

A global survey of 150 Millennial and Gen Z life scientists on how they discover, evaluate, and recommend lab products.

How has AI reshaped life science workflows in the past year? Which AI solutions have emerged as indispensable to researchers and which have fallen short? Do scientists genuinely trust AI-generated results, and how are those perceptions shifting? 

 

The 2026 edition of Perceptions of Artificial Intelligence in the Life Sciences delivers a definitive read on where life science professionals…

Software systems underpin nearly all advanced technologies, procedures, and data analytics in laboratories—whether involved in routine sample analysis or complex research activities. The automation capabilities they provide allow scientists to streamline workflows, set analytical parameters, comply with regulatory requirements, and record, organize, and analyze data. Their very existence makes high-throughput testing possible, and their capabilities…

This report presents findings from a comprehensive survey of clinical diagnostics professionals, across multiple years (2019, 2020, 2022, and 2025), focusing on their experiences with vendors, product usage, purchasing behavior, and operational challenges. The findings offer actionable insights to enhance customer engagement, support product innovation, and improve service delivery across the IVD industry. These insights…

How has AI shaped life science workflows?  What AI solutions are leading the life science AI revolution? Do scientists truly trust AI?

The latest edition of Perceptions of Artificial Intelligence in the Life Sciences, from BioInformatics (part of Science and Medicine Group) captures the sentiment of life science researchers towards the latest innovations of AI and…

We’ve Talked to Over 400 Life Scientists About Artificial Intelligence in the Life Sciences.  This report has the Results.

What is the future of life science AI? How important will AI be to the work life of scientists? What purpose will life science intelligence serve? What comes to mind when scientists think about AI? What…