Johns Hopkins Medicine

AI-Based Liquid Biopsy May Detect Liver Fibrosis, Cirrhosis and Chronic Disease Signals

Researchers at the Johns Hopkins Kimmel Cancer Center report that an artificial intelligence (AI)-based liquid biopsy test ...
News-Medical.Net

Researchers develop versatile machine learning tool to automate complex clinical diagnostics

A research team funded by the National Institutes of Health (NIH) has developed a versatile machine learning model that could one day greatly expand what medical scans can tell us about disease.
The Lancet

Global, regional, and national cascades of diabetes care, 2000–23: a systematic review and modelling analysis using findings from the Global Burden of Disease Study

aInstitute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA bSchool of Medicine, University of Washington, Seattle, WA, USA cGeneral Medicine Service, Department of ...
IEEE

PGTAD: Real-Time and Lightweight Multivariate Time-Series Anomaly Detection for IoT Using Patch Gate GRU Autoencoder

Abstract: The escalating diversity of Internet of Things (IoT) devices has intensified security challenges, as signature-based and heavyweight machine learning (ML) defenses often fall short in ...
IEEE

A Real-Time IoT and Machine Learning-based Smart Insole System for Early Detection and Prevention of Diabetic Foot Ulcers

Abstract: Diabetic Foot Ulcers (DFUs) are a severe and common complication of diabetes, affecting up to 50% of long-term patients and often leading to hospitalization or amputation. Existing ...