Mount Sinai researchers have created an analytic tool using machine learning that can predict cardiovascular disease risk in patients with obstructive sleep apnea ...
This study highlights the potential for using deep learning methods on longitudinal health data from both primary and ...
This review examines how high-throughput proteomics is expanding precision medicine by improving biomarker discovery, disease ...
At HRS 2026, Dr. Song Zuo presented evidence that AI can detect atrial fibrillation with over 90% sensitivity, ...
A model integrating deep learning with clinical and epidemiologic data may significantly improve lung cancer risk prediction based on LDCT screening.
APOLLO is a multimodal temporal foundation model trained on 25.2 billion medical events from 7.2 million patients across 33 ...
WASHINGTON, March 27 (Reuters) - California Governor Gavin Newsom on Friday issued an executive order barring state officials from using insider knowledge to bet on prediction markets like Polymarket ...
Runners often turn to time or distance, pace or feel to guide their workouts. But to get more precise about intensity, heart rate training offers an objective view of how hard you’re working and can ...
You're currently following this author! Want to unfollow? Unsubscribe via the link in your email. When a segment of the source code for Anthropic's celebrated AI agent, Claude Code, ended up on GitHub ...
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