Further database analysis is needed to create accurate risk prediction models for surgical morbidity and mortality to aid ...
Google DeepMind's new model deciphers how hidden DNA changes drive disease, predicting gene regulation effects with high ...
Heart specialists at Mayo Clinic today presented new research at the 2026 Society of Thoracic Surgeons Annual Meeting that ...
Award-winning presentation recognizes AI-CVD-HF heart failure prediction model leveraging coronary artery calcium (CAC) scans HONG KONG, January 27, 2026 /EINPresswire.com/ — HeartLung AI announced ...
A new predictive tool may help identify patients at risk for poststroke dementia, potentially accelerating research and ...
Telomere length and polygenic risk scores (PRS) are linked to idiopathic pulmonary fibrosis (IPF) risk, especially in noncarriers of rare genetic variants. The study identified rare damaging variants ...
Researchers have found growing evidence that contemporary mammogram imaging combined with AI analysis are able to predict a woman's risk for major cardiovascular events, such as heart attacks and ...
A risk prediction model using longitudinal eGFR data could help identify kidney transplant recipients at risk for graft ...
Despite major advances in genetic testing for breast cancer risk prediction, death rates remain disproportionately high among ...
The addition of polygenic risk scores (PRS) improved the accuracy of the cardiovascular disease (CVD) risk prediction tool PREVENT across all groups studied, across ancestries. Over 3 million people ...