FIU Researchers are training AI to detect heart conditions, like aortic stenosis and heart failure, by analyzing heart sound data to improve early diagnosis and risk prediction. The future of heart ...
Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered ...
COMET, a novel machine learning framework, integrates EHR data and omics analyses using transfer learning, significantly enhancing predictive modeling and uncovering biological insights from small ...
A research team from Juntendo University in Japan wanted to find a better way to predict survival for older people with heart failure. The project was led by Professor Tetsuya Takahashi, Assistant ...
Adults with congenital heart disease (CHD) have a persistently high risk for cardiac reoperation, according to a new study.
Five digital health startups recently graduated from the accelerator programme of the National University of Singapore Yong Loo Lin School of Medicine and 22Health Ventures. Started as a hackathon ...
Heart specialists at Mayo Clinic today presented new research at the 2026 Society of Thoracic Surgeons Annual Meeting that redo surgery for adults with congenital heart disease (CHD) remains high-risk ...
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