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

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 ...

Drug discovery is the process through which potential new medicines are identified. It involves a wide range of scientific disciplines, including biology, chemistry and pharmacology. The method ...

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

Choosing between plate reader-based assays and mass spectrometry solutions is a key decision for scientists when evaluating ...

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 ...

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

UM researchers have developed a deep learning model to predict compound protein interactions. GraphBAN is an inductive graph-based approach. The model is all about discovering new drug candidates in ...