Identifying genetic drivers of chronic diseases is necessary for drug discovery. Here, we
develop a machine learning-assisted genetic priority score, which we call ML-GPS, that …

Background With increasing numbers of patients and novel drugs for distinct causes of
systolic and diastolic heart failure, automated assessment of cardiac function is important …

Background: Pulmonary diseases and esophageal cancer are highly prevalent conditions
with rising incidence worldwide. Prior evidence supports shared environmental and …

Background Aortic structure impacts cardiovascular health through multiple mechanisms.
Aortic structural degeneration occurs with aging, increasing left ventricular afterload and …

Electronic health records, biobanks, and wearable biosensors contain multiple high-
dimensional clinical data (HDCD) modalities (eg, ECG, Photoplethysmography (PPG), and …

Valvular heart disease is associated with a high global burden of disease. Even mild aortic
stenosis confers increased morbidity and mortality, prompting interest in understanding …

Aplicações de inteligência artificial (IA) não são novas. Um exemplo pioneiro e emblemático
foi o programa de xadrez" Deep Blue" da IBM (Hsu 2002), que em 1997 conseguiu derrotar …