November 3, 2025
April 23, 2026
Healthcare AI fails when data can’t be verified. This article argues verification must be built into data design from the start, ensuring provenance, integrity, context, and continuity—turning datasets into trustworthy, reusable assets.
April 16, 2026
Clinical research often fails to generalize. Narrow trials, rigid protocols, and abstract analytics create an external validity gap—where evidence works in theory but breaks in practice across real, diverse patient populations.
April 13, 2026
Data capitalism failed by treating abundance as scarcity and trust as a commodity. Without provenance and integrity, data lost meaning. The next model restores value through verification, transparency, and accountable participation.
