A machine learning-based heart disease prediction model (ML-HDPM) that uses various combinations of information and numerous recognized categorization methods.

Study aims to develop a machine learning model to predict cardiovascular disease using indicators of oral infections Mar 17, 2023 ECG-based AI model can predict undiagnosed structural heart disease ...

“Additionally, our techniques could be adapted for human heart models, providing valuable insights into cardiac health and disease. Incorporating uncertainty quantification methods could further ...

Hybrid imaging: A 70-year-old patient presented with diffused largely non-calcified disease (centre panel in red) in the left anterior descending (LAD) artery and demonstrated increased 18 F-NaF ...

Johns Hopkins researchers recently received a $195,000 Rapid Response Research grant from the National Science Foundation to identify, through machine learning, which COVID-19 patients are at risk of ...

The new machine-learning tool has already found a promising candidate to help prevent harmful heart scarring in a way distinct from previous drugs. The UVA researchers say their cutting-edge computer ...

They began by looking at the effect of 13 promising drugs on human fibroblasts, then used that data to train the machine learning model to predict the drugs' effects on the cells and how they behave.

Deep machine-learning speeds assessment of fruit fly heart aging and disease, a model for human disease. ScienceDaily . Retrieved June 2, 2025 from www.sciencedaily.com / releases / 2024 / 07 ...