AlphaFold, a transformative AI-driven tool developed by DeepMind, has revolutionized the field of structural biology by ...

Before the drug development process commences, scientists conduct computational studies, cellular assays, and genomic and proteomic research to identify a specific target molecule, such as an RNA ...

Traditional drug development methods involve identifying a target protein (e.g., a cancer cell receptor) that causes disease, ...

A team of researchers from the University of Utah and Sethera Therapeutics has uncovered a powerful new way to build more ...

Researchers from Simon Fraser University have unveiled an artificial intelligence framework that could transform drug ...

In the complex and costly world of pharmaceutical development, the process of drug discovery remains one of the most significant bottlenecks, with scientists often describing compound optimization as ...

Additionally, pharmaceutical companies often study biomarkers during the drug development process. Pathos says that its AI model will enable researchers to discover new biomarkers more efficiently.

H3D wants to be a leading organisation for integrated drug discovery and development. Here’s how AI is helping them do just ...

With the increasing costs of drug development, the elimination of problematic candidates early in a program is more important than ever,” said Clanton. “The acquisition of a Sophion QPatch-II ...

The FDA becomes involved before any new drug molecule is tested in humans. Here’s how upheaval at the agency appears to be affecting specific points in the approval process for new drugs.

It is expected that more accurate drug effect prediction will be possible with the development of 'organoid' which improves performance. Professor Bang Seung-min and Lim Gar-ram of the Department ...

However, domestic drug development saw significant growth over this period, with 106 new domestic drugs approved in 2024. Among the 455 drugs approved using ADMRP pathways, the highest numbers of ...