Machine learning in drug discovery, along with artificial intelligence, is transforming the pharmaceutical industry by accelerating the development of new treatments. Historically, the process of ...

In an interview with Technology Networks, Dr. Daniel Reker discusses how machine learning is improving data-scarce areas of drug discovery.

From antibiotic resistance to emerging viral threats, the global demand for new medicines is intensifying, yet traditional drug discovery pipelines remain slow and expensive. A new scientific review ...

Understanding and preventing drug side effects holds a profound influence on drug development and utilization, profoundly impacting patients’ physical and mental well-being. Traditional artificial ...

Read full article: ‘He needs justice’: Family seeking answers after 18-year-old found dead in Woodlawn Lake The incident happened around 1:45 a.m. on Saturday in the 3000 block of Northeast Loop 410 ...

(L) First and co-corresponding author Charlie Wright, PhD, St. and (R) co-corresponding author Paul Geeleher, PhD, both of the St. Jude Department of Computational Biology. (MEMPHIS, Tenn. – December ...

In the UK, there was a case where TGN1412, an immunotherapy under development, triggered a cytokine storm within hours of administration to humans, leading to multiple organ failure. Another example, ...

This is an archived article and the information in the article may be outdated. Please look at the time stamp on the story to see when it was last updated. WASHINGTON (AP) — Artificial intelligence is ...