Physiological foundation modeling for subclinical disease assessment: a prospective pilot

20260 citationsJournal Articlegold Open Access

Authors

William Yuan · Etiometry (United States)

Shiwei Xu · Etiometry (United States)

Sara Dionisi · Flagship Pioneering (United States)

Katharine M. von Herrmann · Etiometry (United States)

Kate Frederick-Dyer · Vanderbilt University Medical Center

Joyce Cheung‐Flynn · Vanderbilt University Medical Center

Caleb Kennedy

Abstract

Artificial intelligence (AI)-based profiling of patient physiology can reveal individuals who have subclinical signatures of disease. If implemented widely, this approach can identify unknown human subjects, reduce screening failures, and improve trial quality. Bioprofiles may have additional utility in decision support applications in precision medicine and AI-augmented healthcare.

Topics & Keywords

Liver Disease Diagnosis and Treatment Nutrition and Health in Aging Body Composition Measurement Techniques

Publication Details

Published in: JAMIA Open

Volume 9, Issue 1, pp. ooag002-ooag002

DOI: 10.1093/jamiaopen/ooag002

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Physiological foundation modeling for subclinical disease assessment: a prospective pilot

Authors

Abstract

Topics & Keywords

Publication Details