An artificial intelligence (AI) model developed by researchers at The University of Texas MD Anderson Cancer Center ...

Two complementary predictors (DAAE-M and ELIE) estimate individualized 5-year progression risk using routine clinical data, ...

A new review in Science China Life Sciences examines how machine learning and host-microbiome multi-omics can be combined to better understand health and disease. The article outlines the road from ...

Discover how machine learning asthma prediction can identify high-risk children early and support personalised care ...

Machine learning and deep learning models are now widely used to classify disease cases, forecast outbreaks, and analyze epidemiological trends, often achieving high levels of accuracy in controlled ...

Dhanbad, has developed ‘EchoPulse’, an innovative system that integrates AI with virtual reality (VR) to make the di.

Discover how explainable AI enhances Parkinson’s disease prediction with improved accuracy and clinical interpretability.

For centuries, humans looked to seers and astrologers to determine fate. Today, we look to algorithms, and the loss of agency ...

Findings support model in which accelerated biological aging of mammary epithelia may underpin breast cancer susceptibility ...

A biology-guided artificial intelligence model applied to routine pathology slides accurately predicted outcomes and response to immunotherapy in patients with metastatic non-small cell lung ...

This study highlights the potential for using deep learning methods on longitudinal health data from both primary and ...

Oregon Health & Science University researchers have developed a first-of-its-kind method to predict cancer patient survival ...