From chest scans to ECG data, AI-powered pipelines are transforming how we detect and predict cardiovascular risks. Researchers are integrating medical imaging, clinical data, and advanced algorithms ...

Researchers are studying a machine learning-powered warning system for breast cancer. It works by detecting subtle changes in a mammogram that humans can't spot, but could soon become cancer.

Abstract: Heart rate monitoring (HRM) serves as a fundamental component of healthcare systems, providing essential insights into cardiovascular function and overall physiological status. Conventional ...

Researchers use machine learning and genetic analysis to uncover type 1 diabetes risk factors, improving prediction accuracy ...

OBSCORE is a data-driven tool that identifies high-risk individuals for obesity-related diseases, enhancing treatment ...

Abstract: Feature selection is a pivotal step in machine learning, aimed at reducing feature dimensionality and improving model performance. Conventional feature selection methods, typically framed as ...