Skip to content

Author

H. Rossman

We have 3 of 54 papers

We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.

Not the right person? Other researchers publish under this name.

#artificial intelligence Preprint Sep 2026

DoAtlas-2: A Foundation for Self-Evolving Causal Biomedical Discovery

Representative studies identify blood pressure as a convergence node linking adiposity, hepatic, and lipid phenotypes to vascular outcomes, and show that an adiposity-inflammation-blood-pressure pathway is largely attenuated by joint adjustment for body mass index (BMI) and smoking.

Yu-Long Li, Rong Xia, Yuxuan Zhang et al. · 0 citations
Open access Aug 2026

Grounding Health AI: Architecture and Evaluation of a Domain-Expert Metabolic Health Agent

General-purpose language models generate fluent health reports that can fabricate derived clinical metrics. In an illustrative comparison on identical two-week CGM and meal data, leading foundation models produced reports with invented MAGE values, inflated meal counts, and unreferenced complication-risk projections: f...

A. Diament, G. Sapir, M. Gorodetski et al. · 0 citations
#artificial intelligence Preprint Sep 2026

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

Deeply phenotyped cohorts combine clinical, imaging, molecular, and wearable observations across timescales from seconds to years, but heterogeneous analyses are not directly comparable. We present PhenoBench, an executable benchmark that turns deep-phenotyping measurements into explicit questions and controlled compar...

G. Sapir, A. Diament, Adva Wolf et al. · 0 citations

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.