AI and machine learning are revolutionizing drug discovery, development, and lifecycle management, addressing industry ...

A paper authored by experts from Google and Stanford (Calif.) University proposed using machine learning techniques to aid in the lengthy process of drug discovery. The paper, called “Massively ...

(L) First and co-corresponding author Charlie Wright, PhD, St. and (R) co-corresponding author Paul Geeleher, PhD, both of the St. Jude Department of Computational Biology. (MEMPHIS, Tenn. – December ...

Converge Bio, the AI platform for accelerated drug discovery and development, announced today $25 million in Series A funding ...

Predictive Oncology aims to enhance drug discovery using its biobank and AI, following industry trends exemplified by Regeneron's 23andMe acquisition. Predictive Oncology Inc. is leveraging its ...

Predictive Oncology Inc. announced the successful development of predictive models for 21 unique compounds sourced from the University of Michigan's Natural Products Discovery Core, marking a ...

Artificial intelligence (AI) machine learning is transforming pharmaceutical drug discovery. Advances in deep learning, a subset of machine learning, is enabling researchers to identify patterns in ...

For decades, scientists have investigated the neurokinin-1 receptor (NK1R) as a potential target for treating major ...

Discover how a new machine learning method can help scientists predict which MOF structures are good candidates for advanced ...

Discovering effective drug combinations may now be easier thanks to a screening platform made public today by St. Jude Children's Research Hospital scientists. Many diseases, including cancers, ...