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AI meets heart health with smarter predictions
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 ...
Abstract: Heart rate monitoring (HRM) serves as a fundamental component of healthcare systems, providing essential insights into cardiovascular function and overall physiological status. Conventional ...
Using a deep learning model to analyze the composition of large muscles on MRI, German researchers found that the proportions ...
Researchers used AI to analyze whole-body MRI scans from more than 66,000 participants to create the most detailed reference ...
OBSCORE is a data-driven tool that identifies high-risk individuals for obesity-related diseases, enhancing treatment ...
Hybrid Quantum-Classical Algorithm for an Integrated Feature Selection and Logistic Regression Model
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 ...
In people with Type 1 diabetes (T1D), the immune system shuts down the body's ability to make the hormone insulin, ...
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