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

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

Mount Sinai researchers have created an analytic tool using machine learning that can predict cardiovascular disease risk in patients with obstructive sleep apnea ...

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

The study shows that disease severity and poor prognosis in ATTR-CM are associated with elevated levels of mid-regional ...

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 ...

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

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

It’s about to become more expensive for Claude Code subscribers to use Anthropic’s coding assistant with OpenClaw and other third-party tools. According to a customer email shared on Hacker News, ...