Machine learning models can predict the risk for developing moderate-to-severe persistent asthma and allergic rhinitis in children with early-life AD.

In people with type 1 diabetes (T1D), the immune system shuts down the body's ability to make the hormone insulin, ...

Artificial intelligence (AI) and machine learning (ML) have emerged as transformative forces in the field of cardiovascular medicine. The increasing ...

From decoding ECGs in seconds to predicting heart disease years before symptoms, AI is revolutionizing cardiovascular care. Machine learning models are outperforming traditional risk scores, while ...

Whether estimating the probability that a disease is present or forecasting risk of deterioration,1 readmission,2 or death,3 most contemporary clinical artificial intelligence (AI) systems are ...

At HRS 2026, Dr. Song Zuo presented evidence that AI can detect atrial fibrillation with over 90% sensitivity, ...

A machine learning model combining cardiac troponin levels with clinical data has shown high accuracy in diagnosing myocardial infarction, surpassing fixed threshold methods. The CoDE-ACS system ...

APOLLO is a multimodal temporal foundation model trained on 25.2 billion medical events from 7.2 million patients across 33 ...

8 min read | April 2026 showed us a toxic HTT fragment is center stage in mouse research, CRISPR is showing promise in mouse ...