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

A machine learning model bests traditional methods for predicting cirrhosis mortality among hospitalized patients.

Researchers at Northeastern University can predict the emergence of a dengue fever outbreak with 80% accuracy—a breakthrough ...

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.

By integrating multi-omics data, MILTON improves disease prediction and biomarker identification, advancing the field of preventative medicine and diagnostics.

Melkani envisions using deep learning-assisted studies to explore cardiac mutation models and other small animal models, such as zebrafish and mice. “Additionally, our techniques could be adapted for ...

Stanford University researchers developed a machine learning-based method capable of diagnosing multiple diseases using B cell and T cell receptor sequences. The model, called Machine learning for ...