Peer-Reviewed Publication
Medicina (Kaunas)2026;62(9)August 27, 2026Journal Article

Digital Engagement Phenotypes and 6-Month Weight Loss in a Tirzepatide-Supported Digital Weight-Loss Program: A Retrospective Cohort Study.

Louis Talay1, Connie Xu2, Jason Hom3, Laura Swinckels1, Marilyn Tan3, John Alderete4, Neera Ahuja3
1Eucalyptus Health, Sydney 2000, Australia.
2Amigo AI, New York, NY 10010, USA.
3Department of Medicine, Stanford University Medical Centre, Stanford, CA 94305, USA.
4Department of Linguistics, Simon Fraser University, Burnaby, BC V5A 1S6, Canada.

Abstract

Background and Objectives: Real-world persistence with medication-supported weight management programs is often low. While digital weight loss services (DWLS) provide multi-modal digital supports to improve engagement and counter attrition, the existing literature frequently relies on unidimensional or binary classifications of user engagement. This study used unsupervised machine learning to iden…

Create a free account to keep reading

Free members get 10 full research views every month across publications, clinical trials, FDA clearances, adverse events, and NIH grants. No credit card required.

Want unlimited research access? See Pro plans

Data Accuracy Notice: Research intelligence on Health AI Central is aggregated from public sources (PubMed, ClinicalTrials.gov, FDA, NIH, CMS, and others) and refreshed nightly. Classifications and derived metrics are produced by automated methods described in our Methodology. We recommend verifying critical data points against the primary sources before making decisions.