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How AI is transforming healthcare & wellness. Daily coverage by Hector Herrera.
The Democratic congressional win puts two stalled healthcare AI priorities back on the table: updated FDA authority over AI medical devices and federal reimbursement pathways for AI-assisted care.
Isomorphic Labs, Alphabet's AlphaFold-based drug discovery spinout, is in advanced talks to raise $5 billion at a ~$50 billion valuation — giving it independent capital to scale beyond its parent company.
King Faisal Specialist Hospital presented its operational AI deployment across nursing workflows and patient-experience monitoring at the Economist AI in Health Summit, offering a rare look at a major hospital that has moved AI from pilot to operational scale.
Nine in ten patients require explicit consent before AI is used in their diagnosis, while 64% of providers are deploying AI for claims management — a trust gap with significant regulatory consequences.
Sen. Bill Cassidy introduced the PATIENT AI Act to expand AI in healthcare with patient safety guardrails, as a new survey shows 91% of patients want explicit consent required before AI is used in their diagnosis.
Radical Numerics administered Omnii-1, an AI-designed bacteriophage, to a human patient under compassionate use — the first claimed administration of an AI-generated biological agent in a person.
A proof-of-concept study demonstrates that AI foundation models trained on wearable sensor data can predict migraines a full 24 hours before onset — the first multimodal wearable AI demonstration for migraine forecasting.
The American Nurses Association is launching a $5 million, three-year program to close the AI skills gap among frontline nurses in rural and underserved communities, funded by Johnson & Johnson and Google.org.
AstraZeneca signed a deal worth up to $1.5 billion with AI drug discovery company insitro to identify novel drug targets in liver and heart disease using insitro's machine learning platform.
Pathos AI raised $237 million in Series E funding at a $3 billion valuation, using AI to match cancer patients to clinical trials and identify drug response patterns — one of the largest health AI raises of 2026.
The REDMOD AI system identifies pancreatic cancer in CT scans an average of 475 days before conventional diagnosis, achieving nearly twice the sensitivity of experienced radiologists.
Anthropic acquired Mithril Medicine and announced Claude-powered drug-discovery partnerships with six pharma companies, marking the AI lab's first direct move into developing actual drugs.
AKASA has expanded its autonomous AI platform into inpatient medical coding and Clinical Documentation Integrity, claiming human-level accuracy on the cases where a single coding error can swing reimbursement by thousands of dollars.
Microsoft's MAI-DxO correctly identified diagnoses in 83% of complex NEJM cases — more than double the accuracy of generalist physicians. A real-world trial with Beth Israel Deaconess Medical Center is now planned.
Isomorphic Labs, the AI drug discovery company spun out of Google DeepMind, is in talks to raise at a valuation of $40–50 billion — just five months after closing a $2.1 billion Series B.
The UK accepted every recommendation from its AI healthcare commission and activated AI Airlock Phase 3 — making it the first major economy with a live pre-market AI medical device testing sandbox.
AI is deployed across US hospitals at scale, but ScienceSoft's Q3 2026 report finds consistent frameworks for proving clinical or economic value are largely absent — widening governance and liability exposure.
Utah became the first US state to allow an AI to initiate a new prescription without a physician's approval, with six independent auditors overseeing the pilot.
Governor Newsom signed three bills creating the most comprehensive state clinical AI governance framework in the U.S. — covering direct care restrictions and mandatory algorithmic bias audits.
GE HealthCare appointed Rodolphe Katra as its Global Chief AI Officer, signaling that the medtech industry is formalizing C-suite AI accountability at scale.