Type 1 diabetes (T1D) is an autoimmune condition in which the body's own immune system attacks insulin-producing cells. As a result, patients with T1D must closely monitor their blood glucose (BG) ...

Drug discovery is like molecular Tetris. Chemists snap atoms together, adjusting the pieces until everything fits and suddenly, a molecule makes a promising new medicine. Normally, creating better ...

Patients with Type 1 diabetes (T1D) require accurate and consistent monitoring of their blood glucose levels. Over the past decade, AI models have been explored to tackle this challenge; however, ...

A machine learning-driven framework accurately predicts MPA exposure and supports individualized dosing in childhood-onset LN.

In high-stakes settings like medical diagnostics, users often want to know what led a computer vision model to make a certain prediction, so they can determine whether to trust its output. Concept ...

Overview AI medical diagnosis can recognize disease patterns even before symptoms worsenPredictive healthcare models delve into risk factors over the long termM ...

Rapid advances in artificial intelligence, machine learning, and data-driven computational modeling have opened unprecedented opportunities to transform ...

Nurses use an AI-powered tool to identify and address social determinants of health that influence patient outcomes.

A team of researchers from Taiwan has developed PanMETAI, an AI-powered platform that analyzes metabolic fingerprints in a ...

The 2026 Improving Musculoskeletal Patient Care Through Outcomes Research (IMPACT) Award was presented to Kevin Shea, MD, FAAOS and the Research in Osteochondritis of the Knee (ROCK) Research Study ...

Global Digital Biomarkers Market OverviewThe global digital biomarkers market is poised for rapid expansion and is expected ...

Background Preprocedural risk prediction of 30-day all-cause mortality after percutaneous coronary intervention (PCI) aids in clinical decision-making and benchmarking hospital performance. This study ...