Many EHR systems include tools that provide clinicians with information about interactions between medications, but they are fragmented and have no consistent set of standards, a study concluded. The ...

AI-driven tools are increasingly used to manage prescription processing, track drug prices, and optimize pharmacy operations, promising faster approvals, better cost transparency, and improved patient ...

MILAN — A form of artificial intelligence that compares the structures of drugs and foods found numerous potential interactions in patients with multiple sclerosis, and made suggestions for less risky ...

The assessment of causation for a potential drug interaction requires thoughtful consideration of the properties of both the object and precipitant drugs, patient-specific factors, and the possible ...

To discover new treatments for genetic disorders, scientists need a thorough knowledge of prior literature to determine the best gene/protein targets and the most promising drugs to test. However, ...

On April 22, researchers introduced two separate AI tools aimed at easing persistent challenges in drug development. A University of Oregon team developed a model that uses AI and physics data to ...

Clinical Outcomes and Efficacy of Human Epidermal Growth Factor Receptor 2–Targeted Therapy in Breast Cancer With Uncommon In Situ Hybridization Patterns or Discordant Immunohistochemistry The ...