Insilico Medicine has shown that generative AI can dramatically accelerate drug discovery, but its bigger challenge is ...

Designing an efficient platform is crucial for any industrial process. This design process is known as process development, and it has become increasingly important in the pharmaceutical industry at ...

This Brush Up is sponsored by MilliporeSigma. Learn more about therapeutic synthesis pathways. Drug development is a process that spans many years, from the initial phase of identifying potential drug ...

Amazon Web Services (AWS) is expanding its partnership with Novo Nordisk to bring together AWS engineers, AI specialists and applied scientists with the pharma giant's research and development teams ...

UM researchers have developed a deep learning model to predict compound protein interactions. GraphBAN is an inductive graph-based approach. The model is all about discovering new drug candidates in ...

Over the past year, drug discovery has gotten a massive boost from the CAS BioFinder Discovery Platform, which allows scientists to explore known and predicted data that accelerate the preclinical ...

Generative biology is moving from code to the clinic, promising faster drug discovery while raising hard questions about ...

A recent research achieved a milestone in cancer drug development after it discovered a way to watch and study cells live.

Conventional drug delivery is known for being both a lengthy and expensive process, with pre-clinical testing taking between three to six years and costing between hundreds of millions of dollars to ...

AI is now a core capability in pharmaceutical R&D, moving beyond experimentation to accelerate drug discovery, improve ...

Artificial intelligence has already made its mark in commercial industries, and there's a good argument to be made that AI is ...