Abstract: This Study will explore how the IoT and machine learning predict heart disease risks through real-time wearable device and sensor data. The Cleveland and Hungarian datasets have relevant ...

Recent research indicates that neck circumference is a simple yet powerful indicator of metabolic and cardiovascular health risks. Studies reveal a link between a thicker neck and conditions like ...

Alzheimer's disease (AD) is a neurodegenerative disorder of uncertain cause that primarily affects older adults and is the most common cause of dementia. Brain Imaging via magnetic resonance imaging ...

Code found in Apple's latest beta of iOS 18 contains a reference to unreleased AirPods Pro or Beats with a heart-rate sensor. On Monday, Apple issued its release-candidate version of iOS 18, making it ...

Researchers said they’ve determined a new way of testing blood could predict a woman’s 30-year risk of heart disease, according to the National Institutes of Health, which supported the study.

**A end to end project - Powered by Django and Machine Learning** - This project aims to provide a web platform to predict the occurrences of disease on the basis of various symptoms. The user can ...

Biomedical engineers at Duke University have developed a new method to improve the effectiveness of machine learning models. By pairing two machine learning models, one to gather data and one to ...

A new landmark study involving 281 elite athletes from Australia and Belgium has revealed one in six have measures that would normally suggest reduced heart function. Genetic analysis published in ...

Researchers have developed a deep learning model that uses a single chest X-ray to predict the 10-year risk of death from a heart attack or stroke, stemming from atherosclerotic cardiovascular disease ...