AI may make full-body MRI faster and cheaper, but lower scan prices do not automatically create better healthcare. The real test is evidence, follow-up, affordability, and whether discovery becomes useful…
Mayo Clinic’s Microsoft partnership is more than a frontier-model announcement. It reveals a broader AI stack connecting clinical data, foundation models, Phoenix campus expansion, Discovery Oasis, and the hard test…
A randomized kidney-transplant AI trial shows why healthcare AI cannot stop at predicting risk. The next frontier is closing the loop: referral, navigation, benefits, scheduling, follow-up, and completed care.
Prior authorization is one of healthcare’s hidden delivery gates. In 2026, CMS rules, Medicare Advantage data, KFF polling, AMA survey findings, and insurer AI adoption are converging on a sharper…
A new class of AI foundation models trained on millions of whole slide images is reshaping how cancer is diagnosed. Inside Virchow 2, Prov-GigaPath, CHIEF, and the FDA clearance of…
More than thirty targeted protein degraders are now in human trials, with the first Phase 3 readouts arriving in 2026. Inside the vepdegestrant breast cancer data, the BTK degrader race,…
Clinical AI has spent years predicting risk. The next test is harder: whether AI can help patients and clinicians choose the right next action and complete the path to care.
AI case finding may be one of the most important healthcare delivery use cases of 2026: finding patients who already qualify for proven care but remain invisible to the system.
Healthcare delivery is where medical discovery becomes completed care. In 2026, AI’s most important healthcare breakthrough may be closing the gap between proven interventions and the patients medicine still misses.
AI drug discovery is not one breakthrough. It is a stack of tools for target discovery, molecule design, toxicity prediction, clinical trials, and repurposing — each with a different burden…
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