Engineers have developed a new way to monitor how tiny lab-grown human heart tissues beat—by effectively "listening" to the ...

OCHIN researchers describe project designed to improve risk estimates by combining clinical information with patients’ lived ...

Platforms like Kalshi let millions wager on sports and pop culture. They’re now hoping institutions will use them for big-ticket trading like hedging. By Michael J. de la Merced Most people use ...

Coronary artery disease (CAD) is a leading global cause of mortality, yet the predictive accuracy of conventional risk models is limited. Here, we integrate conventional risk factors, polygenic risk ...

cRenal Division, Department of Medicine, Peking University First Hospital, Beijing Key Laboratory of Research, Development and Translational Application of Multimodal Intelligent Diagnosis and ...

Most Americans eat too much fat and too many calories. Along with a lack of exercise, this has led to an epidemic of obesity and diabetes. It's also contributed to keeping heart disease as the leading ...

Abstract: Heart diseas remains major cause of death in world wide and early diagnosis is vital to effective clinical treatment. Models that are capable of capturing complex patterns in medical data ...

A full-stack web application that uses deep learning to detect and classify plant diseases from leaf images. Built with Next.js, React, TailwindCSS on the frontend and Flask, TensorFlow on the backend ...

We conducted a systematic review and meta‐analysis of studies examining the association of viral infections with the risk of cardiovascular disease, including coronary heart disease (CHD) and stroke.

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 ...