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This paper is in the following e-collection/theme issue:

Artificial Intelligence in Diabetes Care and Prevention (67) Machine Learning (2306) Artificial Intelligence in Diabetes Care and Prevention (67) Applications of AI (382)

Published on in Vol 11 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/85372, first published .
Doctor giving patient two white pills in a medical office

Predicting Treatment Failure With Sodium-Glucose Cotransporter-2 Inhibitors in People With Type 2 Diabetes: Novel Artificial Intelligence and Machine Learning Approach

Predicting Treatment Failure With Sodium-Glucose Cotransporter-2 Inhibitors in People With Type 2 Diabetes: Novel Artificial Intelligence and Machine Learning Approach

Authors of this article:

Doyoung Kwak1 Author Orcid Image ;   Xi Tan2 Author Orcid Image ;   Yuanjie Liang2 Author Orcid Image ;   Caroline Swift2 Author Orcid Image ;   Chalak Muhammad2 Author Orcid Image ;   Xu Shi3 Author Orcid Image
Article Authors Cited by Tweetations Metrics

Doyoung Kwak   1 , MS ;   Xi Tan   2 , PharmD, PhD ;   Yuanjie Liang   2 , MS ;   Caroline Swift   2 , PhD ;   Chalak Muhammad   2 , MPH, MD ;   Xu Shi   3 , PhD

1 Texas A&M University, College Station, TX, United States

2 Novo Nordisk Inc, Plainsboro, NJ, United States

3 University of Michigan, Ann Arbor, MI, United States

Corresponding Author:

  • Xi Tan, PharmD, PhD
  • Novo Nordisk Inc
  • 800 Scudders Mill Road
  • Plainsboro, NJ 08536
  • United States
  • Email: MXTZ@novonordisk.com