The Center for AI Enabling Discovery in Disease Biology (AID2B) applies artificial intelligence and machine learning techniques to customize treatments using patient data ... working closely together ...
AI-enabled ECG biological age (ECG-BA) improves disease risk classification beyond chronological age, enhancing early ...
While ML models are powerful tools for predicting diabetes, their lack of interpretability presents a major challenge for clinical adoption. Healthcare professionals require AI models to not only be ...
Researchers developed ProtGPS, an AI tool that predicts protein localization in cells and how mutations affect disease. The ...
After combing through 4,000 existing medications, an artificial intelligence tool helped uncover one that saved the life of a patient with idiopathic multicentric Castleman's disease (iMCD).
By Tarun Sai Lomte COMET, a novel machine learning framework, integrates EHR data and omics analyses using transfer learning, significantly enhancing predictive modeling and uncovering biological ...