A risk prediction model using longitudinal eGFR data could help identify kidney transplant recipients at risk for graft ...
A deep learning model using retinal images obtained during retinopathy of prematurity (ROP) screening may be used to predict diagnosis of bronchopulmonary dysplasia (BPD) and pulmonary hypertension ...
University of California San Diego-led team has discovered that restoring a key cardiac protein called connexin‑43 in a mouse ...
A reporter gave ChatGPT Health access to a decade of fitness data, and its assessment was not only incorrect but also ...
AI may be able to predict a person’s risk of developing over a hundred serious medical conditions from data collected over ...
The main pulmonary artery diameter, esophageal dilatation, and ILD score are independent risk factors for 5-year all-cause mortality in patients with connective tissue disease-associated PAH.
UB pharmacy professor Arinze Okere’s team discovers way to accurately predict hospital admissions and 90-day readmissions.
A research team led by the School of Pharmacy and Pharmaceutical Sciences at the University at Buffalo in New York has developed an artificial intelligence model that predicts which cardiac patients ...
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