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Mount Sinai, UCSD Awarded $8.5M to Establish Data Integration Hub

HIT Consultant

Currently, most Common Fund datasets are dispersed across distinct data portals, resulting in underutilization due to the absence of standardized community practices and shared data processing protocols.

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Learning from AI’s Failures

Geek Doctor

Two types of failures are worth closer scrutiny: algorithms that claim to improve diagnosis or treatment but fall short for lack of evidence or fairness; and failure to convince clinicians in community practice that evidence-based algorithms are worth using.