Researchers have developed a new artificial intelligence-based modeling tool that can accurately predict how infectious ...

University of Virginia School of Data Science researcher Heman Shakeri has been awarded a major new research grant to lead work at the intersection of machine learning and diabetes care.

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 ...

Stanford Medicine researchers published a report on a new model, dubbed SleepFM, that tackles the links between sleep patterns and overall health.

Abstract: This study proposes integrating advanced feature selection with the Deep Forest (DF) algorithm to enhance heart disease prediction. Heart diseases still contribute to the largest number of ...