A study published in the Journal of Medicinal Chemistry presents a new family of candidate compounds for the treatment of Alzheimer's disease and pain, which have shown promising effects in animal ...

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 ...

Huge libraries of drug compounds may hold potential treatments for a variety of diseases, such as cancer or heart disease. Ideally, scientists would like to experimentally test each of these compounds ...

The discovery of suitable drugs that could help treat diseases is a long process. However, computer-aided drug design and simulation could speed up the process and also increase the possibilities say ...

A team of researchers at the Federal University of ABC (UFABC) in Brazil has developed a new chemical compound with the ...

PITTSBURGH, March 25, 2025 (GLOBE NEWSWIRE) -- Predictive Oncology Inc. (POAI), a leader in AI-driven drug discovery, announced today that it has successfully developed predictive models derived from ...

Researchers at the CUNY Graduate Center have created an artificial intelligence model, Context-aware Deconfounding Autoencoder (CODE-AE), that can screen drug compounds to accurately predict efficacy ...

A paper about heteroligand complexes of copper was published in Russian Journal of General Chemistry. Studies of metal complexes with organic ligands at Kazan Federal University were initiated back in ...