The number and variety of test interfaces, coupled with increased packaging complexity, are adding a slew of new challenges.

Cloud-based virtualization, real-time data synchronization, and scalable AI/ML deployment can modernize the testing landscape ...

AI lets you code at warp speed, but without Agile "safety nets" like pair programming and automated tests, you're just ...

David J. Silvester, a mathematics professor at the University of Manchester, has developed a novel machine-learning method to ...

There’s been a new breakthrough in the development of a marijuana breathalyzer, with a study partly funded by the Justice ...

University of Virginia School of Medicine scientists have developed a bold new approach to drug development and discovery ...

In the announcement, FDA Commissioner Mackary said, “Bayesian methodologies help address two of the biggest problems of drug ...

DeepCyte, a techbio company building AI toxicology tools for drug development, launched today with $1.5 million in seed funding. The company is introducing two solutions to help biopharma teams detect ...

The software development life cycle relies heavily on the integrity of containerized environments. As secure software delivery becomes standard in the development process, more teams seek hardened ...

An individual could potentially use an AI model or a combination of models to engineer a dangerous pathogen, launch autonomous cyberattacks on power grids or hospital networks, or create and ...

In November 2025, the UK government introduced the national "Government Strategy and Roadmap" for phasing out animal testing.[1] The US Food and Drug Administration (FDA) has also issued a roadmap and ...

The Regional Industrial Development Corporation (RIDC) has received approval to move forward with plans to build a new ...