SOURCE-LINKED INTELLIGENCE

PhenoBench: Mapping What a Deeply Phenotyped Human Cohort Can Tell Us

arXiv · AI, language, vision and robotics · article · Sep 5, 2026 · UTC

Deeply phenotyped cohorts combine clinical, imaging, molecular, and wearable observations across timescales from seconds to years. This breadth can reveal which measurements inform which health-related questions, but heterogeneous analyses are not directly comparable. We present PhenoBench, an executable benchmark built around the Human Phenotype Project, in which more than 13,000 participants have completed the initial visit. Each question fixes the target, eligible population, timing, and allowed information; its evaluation contract specifies the split, metric, baseline, and claim boundary.

Read original source ↗ Open in workspace

recordType

paper

region

Global