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New machine learning model improves cholesterol calculation accessibility

The Martin-Hopkins equation to assess low-density lipoprotein (LDL) cholesterol levels in blood samples has been used by ...

AI flags heart failure risk five years early from routine ECG recordings

Researchers at the Technion Faculty of Biomedical Engineering have achieved a breakthrough in the early detection of heart ...

New machine-learning equation accurately assess LDL cholesterol risk

The Martin-Hopkins equation to assess low-density lipoprotein (LDL) cholesterol levels in blood samples has been used by ...

Researchers developed tool to comb medical records for signs that could foreshadow illness

Boston researchers say they have created an artificial intelligence tool that sifts through electronic health records to ...
Johns Hopkins Medicine

Machine Learning Method Enables Easier and Wider Use of Martin-Hopkins Equation to Accurately Assess LDL Cholesterol Risk

The Martin-Hopkins equation to assess low-density lipoprotein (LDL) cholesterol levels in blood samples has been used by ...
InfoQ

Meta's Noninvasive Brain–Computer Interface Brain2Qwerty Achieves 61% Accuracy

Meta recently open-sourced Brain2Qwerty v2, a noninvasive Brain–Computer Interface (BCI) that can decode sentences from ...

Advancing Neurological Disease Prediction through Machine Learning Techniques

A study explores how AI and ML can improve early detection of neurological diseases, including Parkinson’s disease, ...

AI/ML Innovations Inc. Announces Grant of U.S. Patent Expanding Protection for AI-Driven ECG Analysis

Patent covers machine learning techniques for ECG denoising, rhythm classification, sample-level labelling, wearable cardiac monitoring, and report generation TORONTO, ON / ACCESS Newswire / June 23, ...
IEEE

Sleep Stage Classification Using a Non-contact Capacitive ECG Mattress with Machine Learning Approaches: A Feasible Study

Abstract: Sleep stage classification is essential for diagnosing sleep disorders. However, the clinical reliance on polysomnography (PSG) faces significant challenges due to its high cost, ...