Some AI models designed to predict stroke and diabetes risk may be based on datasets whose origins cannot be verified, ...
The tools may help address underdiagnosis in this area, though there is still room for improvement in screening performance.
A research team at The Hong Kong Polytechnic University (PolyU) has developed Hong Kong's first "AI Agent for Precision ...
Objective: This study aimed to identify critical time points in SA-AKI progression development and validate dynamic, stratified machine learning prediction models for moderate-to-severe (Kidney ...
A large study applies advanced machine learning to identify shared risk factors and predictors of disease onset in patients with epilepsy and depression.
The Think Family Database holds records on close to half a million people who live in the city of Bristol, England. For many years, few of them knew anything about it. Launched in 2016 by the Bristol ...
Mark Zuckerberg’s Meta is quietly developing a prediction markets app that could challenge industry leaders Polymarket and Kalshi, according to a report. Zuckerberg recently tasked a small team inside ...
Meta CEO Mark Zuckerberg has directed staff to build a prediction markets platform, a source confirmed to CNBC. The New York Times was first to report the app's development. Stocks of sports gambling ...
The experimental app, internally called “Arena,” would be independent of Facebook and Instagram. It could compete for attention with Polymarket and Kalshi, the biggest prediction markets. By Mike ...
Abstract: The use of imaging and genetic data for biomarker detection and disease diagnosis can deepen the understanding of disease pathogenesis and assist in clinical diagnosis. However, current ...
Copyright: © 2026 The Author(s). Published by Elsevier Ltd. Acute viral infections of pandemic potential continue to expose major vulnerabilities in global health ...
Abstract: Heart disease remains a leading cause of mortality worldwide, necessitating early and accurate detection to improve patient outcomes. This paper presents a Heart Disease Prediction System ...