Discovering effective drug combinations may now be easier thanks to a screening platform made public today by St. Jude ...

Machine learning in drug discovery, along with artificial intelligence, is transforming the pharmaceutical industry by accelerating the development of new treatments. Historically, the process of ...

December 15, 2025) Discovering effective drug combinations may now be easier thanks to a screening platform made public today by St ...

Molecular crystal polymorphism does not sound like something you want in your kitchen, but you've probably had experience ...

The drug development pipeline is a costly and lengthy process. Identifying high-quality "hit" compounds-those with high potency, selectivity, and favorable metabolic properties-at the earliest stages ...

insitro, a pioneer in machine learning for drug discovery and development, today announced a new collaboration with Eli Lilly and Company (Lilly) to develop advanced machine learning models that can ...

In the UK, there was a case where TGN1412, an immunotherapy under development, triggered a cytokine storm within hours of administration to humans, leading to multiple organ failure. Another example, ...

Manual audits machine learning improves drug diversion prevention by reducing errors, saving staff time, and enhancing patient safety in hospitals.

Understanding and preventing drug side effects holds a profound influence on drug development and utilization, profoundly impacting patients’ physical and mental well-being. Traditional artificial ...

Researchers in the Nanoscience Center at the University of Jyväskylä, Finland, have developed a pioneering computational ...