AHA/ASA Journals

Artificial Intelligence in Peripheral Artery Disease: A Science Advisory From the American Heart Association

Artificial intelligence shows promise for improving care for peripheral artery disease through earlier detection, improved ...
News-Medical.Net

AI-driven model predicts type 1 diabetes risk with greater accuracy

Researchers use machine learning and genetic analysis to uncover type 1 diabetes risk factors, improving prediction accuracy ...
News Medical

AI trained on sleep data predicts future disease and mortality years in advance

Study: A multimodal sleep foundation model for disease prediction. Image credit: AnnaStills/Shutterstock.com In a recent study published in Nature Medicine, researchers developed a multimodal sleep ...
Rochester Institute of Technology

RIT researchers use machine learning to better understand the pathways of disease

Cancer, Alzheimer’s, and other diseases follow a pathway in the human body. It starts at the molecular and cellular levels, and through a series of complex interactions can lead to the development and ...
ascopubs.org

Deep-Learning Model for Real-Time Prediction of Recurrence in Early-Stage Non–Small Cell Lung Cancer: A Multimodal Approach (RADAR CARE Study)

Physiologically Based Pharmacokinetic Model to Assess the Drug-Drug-Gene Interaction Potential of Belzutifan in Combination With Cyclin-Dependent Kinase 4/6 Inhibitors A total of 14,177 patients were ...
AlphaGalileo

MFCN-DDI: Capsule network based on multimodal feature for multitype drug–drug interaction prediction

In modern medical systems, drug therapy remains one of the most essential approaches for disease prevention and treatment. In particular, combination ...