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.
IEEE

Integrating Data-Driven Insights for Heart Disease Prediction Using Machine Learning Algorithms

Abstract: The World Health Organization reports that cardiovascular diseases constitute 32% of global deaths while staying as one of the top worldwide mortality factors. Heart disease detection during ...

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 ...
News-Medical.Net

New model predicts redo surgery risk in adult congenital heart disease

Heart specialists at Mayo Clinic today presented new research at the 2026 Society of Thoracic Surgeons Annual Meeting that redo surgery for adults with congenital heart disease (CHD) remains high-risk ...

Study examines prediction of surgical risk in growing population of adults with congenital heart disease

Heart specialists at Mayo Clinic today presented new research at the 2026 Society of Thoracic Surgeons Annual Meeting that ...
IEEE

Optimizing Machine Learning-Based Ovarian Cancer Prediction Through Normalization Strategies

Abstract: Ovarian cancer is one of the most challenging cancers to detect early, often leading to poor survival rates. This study explores supervised and unsupervised machine learning and deep ...