A new review titled Artificial Intelligence and the Discovery of Antibiotics: Reinventing with Opportunities, Challenges, and ...

Stephen Whitelam, a researcher whose work spans thermodynamic theory and machine learning, has described a framework for ...

Some say we’ve entered a new age of AI-enabled scientific discovery. But human insight and creativity still can’t be ...

Overview: The global Artificial Intelligence (AI) in drug discovery market is projected to grow at a rate of 25-30% over the ...

Anemia in young adult women is rarely caused by a single factor. Instead, it reflects a layered interaction of nutritional deficiencies, physiological demands, chronic illnesses, genetic ...

This proteomics-driven approach to drug discovery improves target validation and uncovers insights into undruggable proteins, advancing precision medicine.

Vitamin D and its active metabolites play a crucial role in the bone and mineral metabolism, orchestrating calcium–phosphate balance through finely tuned ...

Haoyu Cheng, Ph.D., assistant professor of biomedical informatics and data science at Yale School of Medicine, has developed a new algorithm capable of building complete human genomes using standard ...

Extracting and analyzing relevant medical information from large-scale databases such as biobanks poses considerable challenges. To exploit such "big data," attempts have focused on large sampling ...

Recursion Pharmaceuticals (NASDAQ:RXRX) used its latest earnings call to emphasize what management described as an inflection ...

Real-world optimization problems often require an external “modeling engine” that computes fitnesses or data that are then input to an objective function. These programs often have much longer ...