
AI merges patient records and pathogen DNA
By combining complete electronic health records with bacterial genomes, a new AI platform predicts sepsis outcomes far better than traditional clinical scores.
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By combining complete electronic health records with bacterial genomes, a new AI platform predicts sepsis outcomes far better than traditional clinical scores.

A massive bet on automated healthcare administration is paying off for insurers, but it raises difficult questions about who really wins when algorithms make medical decisions.

As health systems rush to adopt artificial intelligence, the technology is shifting from a luxury upgrade to a survival tool for burned-out clinicians.

A local language model can flag stroke patients directly from emergency room triage notes, bypassing the need for cloud-based data sharing.

A new study shows that a consumer-grade computer running an LLM agent can build world-class medical AI without elite engineering teams.

New research shows that explaining how medical AI works makes untrained users trust wrong answers, while doctors remain unaffected.

A new dual-model AI system catches sepsis and infection hours before they turn fatal, shifting the ICU from reactive treatment to proactive defense.

Pharma is moving from AI-driven drug discovery to AI-driven trial simulation to fix a costly ninety percent failure rate.

A rigorous new evaluation reveals that wrist-worn wearables capture no real blood glucose data, exposing a major flaw in non-invasive tracking claims.

Deploying diagnostic AI to vulnerable populations is a high-stakes test of whether technology can solve the physician shortage without worsening health disparities.