Antimicrobial resistance (AMR) is an increasingly dangerous problem affecting global health. In 2019 alone, ...

Antibiotic resistance is turning routine infections into life threatening events, and the traditional pipeline for new drugs ...

Antimicrobials are naturally derived or synthetically designed chemicals, including antibiotics, antivirals, antifungals, and antiparasitics, used to prevent and treat infectious diseases in humans, ...

As drug-resistant infections threaten to undermine decades of medical progress, scientists are increasingly turning to artificial intelligence (AI) for innovative solutions.

Antibiotic resistance continues to be a worldwide problem. Researchers are use AI computer modeling to help design new compounds. The Conversation — Antibiotic resistance is a growing public health ...

Machine learning identified RDW and HGB as key predictors of hydroxyurea resistance in polycythemia vera, aiding early identification and treatment adjustment. The PV-AIM study used electronic health ...

Discovering effective drug combinations may now be easier thanks to a screening platform made public today by St. Jude ...

In a groundbreaking study published on January 18, 2024, in Cancer Discovery, scientists at University of California San Diego School of Medicine leveraged a machine learning algorithm to tackle one ...

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 ...

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 ...