
A grounded multi-agent AI reasoning study: navigating a synthetic acute promyelocytic leukemia case from ED triage through empiric ATRA + arsenic trioxide to molecular remission — keeping every recommendation auditable.

A synthetic third-line colorectal cancer case study built on Claude Science — how the mechanical-but-hard work between a molecular report and a patient's next step is done reliably, traceably, and closed to care.

An AiMOneHealth lighthouse case: grounding a variant, simulating every rescue strategy, iterating to convergence, and naming the one measurement that earns confidence in the answer.

Helping patients reach the right treatment sooner — why bringing multiple clinical perspectives together before critical decisions are made reduces delays and uncertainty.

How bringing multiple clinical perspectives together earlier can reduce delays, improve coordination, and help patients reach informed treatment decisions sooner.

The challenge is not finding specialists — it's bringing the right expertise together early to identify critical information needs and cut diagnostic delays.
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We publish when we have something worth saying — usually a deployment story or a design decision we wrestled with. No cadence, no filler.