European Medical Journal

Machine Learning Predicts Risk of Fragile X-Associated Syndrome

Machine learning may help predict Fragile X-associated tremor syndrome earlier, enabling planning, monitoring, and timely ...
Hosted on MSN

Random forest advances boost explainability in ecological modeling

Researchers have shown how random forest algorithms can be applied to complex ecological models to uncover the mechanisms driving system behavior. By analyzing a stage‑structured consumer‑resource ...
Medical Device and Diagnostic Industry (MD+DI)

AI-Powered Atrial Fibrillation Detection: How Machine Learning Is Transforming Cardiac Care Through ECG Analysis

At HRS 2026, Dr. Song Zuo presented evidence that AI can detect atrial fibrillation with over 90% sensitivity, ...
European Medical Journal

Explainable AI Predicts Parkinson’s Disease with 93% Accuracy

Discover how explainable AI enhances Parkinson’s disease prediction with improved accuracy and clinical interpretability.
IEEE

Diabetes Prediction using Machine Learning Techniques

Abstract: Machine learning is one of the most inspired zones of experimentation that is flatter progressively accepted in a health institution. This research work distributes with planned machine ...
The Lancet

Deep learning model for pathological invasiveness prediction using smartphone-based surgical resection images in clinical stage IA lung adenocarcinoma (SuRImage): a prospective ...

lDepartment of Surgery, Meizhou People’s Hospital, Meizhou, China mDepartment of General Practice, Guangdong Provincial Geriatrics Institute, Guangdong Provincial People’s Hospital (Guangdong Academy ...
IEEE

The Effect of Sampling on Diabetics Prediction Using Machine Learning

Abstract: Diabetes is a long-term health problem that happens when the sugar level in the blood becomes higher than normal. This usually occurs because the body does not make enough insulin, a hormone ...