Explore how large language models enhance knowledge graphs in drug discovery and improve data management and reasoning.

The landscape of drug discovery is evolving rapidly, driven by breakthroughs in AI, high-throughput screening and precision medicine. As researchers work to develop safer, more effective therapies, ...

Drug trials are vital to medicine, but what of those taking part? Jennie Erin Smith's moving new book about what happened in a rural community hit by early-onset Alzheimer's disease gives them a voice ...

Learn the fundamentals of how the nCounter technology works and the benefits of using this technology in investigational drug discovery and development • Discover specific applications across drug ...

Advances recognized by science’s most lucrative awards include high-energy physics experiments and groundbreaking weight-loss treatments ...

As Al Jazeera correspondent John Holman noted in a video dispatch following the discovery, the “strange ... the Mexican drug war did nothing to curb international drug traffic but much to ...

The Elgin Police Department’s Cold Case Unit, which we profiled back in January, scored its first big victory this week with the discovery of ... in 2004 during a drug deal gone bad in Colorado.

A team of scientists has uncovered the mechanism of cellular uptake for large and polar drugs and devised a novel strategy to ...

UM researchers have developed a deep learning model to predict compound protein interactions. GraphBAN is an inductive ...

Interested in finding a better way to develop drugs to treat amyotrophic lateral sclerosis (ALS), Northeastern researcher ...

A new company has entered the drug discovery space with what it calls a “chemistry-first” platform. Colorado-based Cime Therapeutics has emerged from stealth with $2.1 million in preseed financing to ...

As per Vantage Market Research, the Global Artificial Intelligence in the Drug Discovery Market has been steadily growing over the years due to the growing demand for personalized medicine, the ...