An algorithm that can speed up by years the ability to identify from among thousands of possibilities, two or more drugs that work synergistically against a problem like cancer or a viral infection ...

A team of researchers from Atlanta-based Georgia Institute of Technology introduced an open-source algorithm Oct. 26 that predicts a cancer drug’s effectiveness based on a patient’s genetic data. The ...

Relief is coming for crime scene investigators and toxicologists who have struggled to accurately and swiftly identify drugs that have been seized by law enforcement and may be relied on as evidence ...

Methods of treating fungal infections, like bacterial infections, are changing due to increasing resistance to drugs, and fungal infections also play a major role in hospital-acquired infections.

Algorithms have helped uncover a new antibiotic candidate that shows promise against some particularly nasty bugs, using a novel mode of attack that should be hard for them to develop resistance to.

Researchers from the Queen Mary University of London have developed a machine learning algorithm that ranks drugs based on their efficacy in reducing cancer cell growth. The approach may have the ...

One evening in July of 2020, a woman named Kathryn went to the hospital in excruciating pain. A 32-year-old psychology grad student in Michigan, Kathryn lived with endometriosis, an agonizing ...

Mikel Hernaez receives funding from the Spanish Ministry of Science, Innovation and Universities, the government of Navarra, the EU Department of Defence, the Carlos III Health Institute and the ...