Lab-grown heart tissue beats on its own as sensors track force in real time

Scientists at Université de Montréal and its affiliated Centre de recherche Azrieli du CHU Sainte-Justine have made a major ...

Mammograms helping doctors detect warning signs of heart disease

Researchers have found growing evidence that contemporary mammogram imaging combined with AI analysis are able to predict a woman's risk for major cardiovascular events, such as heart attacks and ...
Frontiers

Data-Driven Vaccine Design for Microbial-Associated Diseases

Vaccination is one of the greatest achievements in immunology and medicine, nearly eradicating many infectious diseases that ...
American Institute of Physics

Predicting stroke recovery motor progress using EEG data

A machine learning model trained on EEG data from patients recovering from strokes helps predict how new patients will regain ...
The Cardiology Advisor

Deep Learning Model Can Predict Cardiopulmonary Disease in Retinal Images of Preterm Infants

A deep learning model using retinal images obtained during ROP screening may be used to predict diagnosis of BPD and PH.

AI model more accurately predicts cardiac event risk from PET scan data

Cardiovascular disease continues to be the leading cause of death worldwide. To save lives, constantly improving diagnostic ...
Journal of Medical Internet Research

Passive Sensing for Mental Health Monitoring Using Machine Learning With Wearables and Smartphones: Scoping Review

Passive sensing via wearable devices and smartphones, combined with machine learning (ML), enables objective, continuous, and noninvasive mental health monitoring. Objective: This study aimed to ...
IEEE

NefroAI: An Explainable and Real-Time Framework for Predicting Chronic Kidney Disease Using Diverse Machine Learning Models and Different Feature Selection Techniques

Abstract: Chronic Kidney Disease (CKD) is a serious health condition that progresses silently, often going undiagnosed until it reaches critical stages. Early detection is vital, but traditional ...
IEEE

Detection of Valvular Heart Diseases From PCG Signals Using Machine and Deep Learning Models: A Review

Abstract: Artificial intelligence (AI) predictions are widely used to address challenges in the heart health sector, such as providing clinical decision support. Early detection of valvular heart ...
The Lancet

Machine learning to classify the focus score and Sjögren's disease using digitalised salivary gland biopsies: a retrospective cohort study

bCentre for Translational Bioinformatics, William Harvey Research Institute, London, UK cExperimental Medicine and Rheumatology, William Harvey Research Institute, London, UK dSchool of Infection, ...
Frontiers

Hybrid intelligent systems for liver disease prediction: a demographic-aware machine learning framework

Background: Liver disease remains a major global health burden, often progressing undetected until advanced stages. Traditional diagnostic approaches, while accurate, are invasive, costly, and limited ...