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

Viewpoints on Diabetes Technology and Innovation (13) Clinical Informatics (1469) Diabetes Self-Management (632) Pharmacology and Pharmaceutics (130) Machine Learning (2273) Artificial Intelligence in Diabetes Care and Prevention (66)

Published on in Vol 10 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/66831, first published .
Applications of AI in Predicting Drug Responses for Type 2 Diabetes

Applications of AI in Predicting Drug Responses for Type 2 Diabetes

Applications of AI in Predicting Drug Responses for Type 2 Diabetes

Authors of this article:

Shilpa Garg1 Author Orcid Image ;   Robert Kitchen2 Author Orcid Image ;   Ramneek Gupta2 Author Orcid Image ;   Ewan Pearson1 Author Orcid Image
Article Authors Cited by (9) Tweetations Metrics

Journals

  1. Kiran Vege H, Yandamuri S, Vennela J, Venkat S. Ai for autonomous health care on diabetes diagnostics. South Health and Policy 2025;4:236 View
  2. Wang W, Mo R, Chen X, Yang S. A machine learning model for predicting obesity risk in patients with diabetes mellitus: analysis of NHANES 2007–2018. Frontiers in Public Health 2025;13 View
  3. Tan S, Lee-Barkey Y, Kulzer B, Hermanns N, Ehrmann D. Das Potenzial von künstlicher Intelligenz in der Diabetologie. Die Diabetologie 2025;21(6):711 View
  4. Garg S, Kitchen R, Gupta R, Trucco E, Pearson E. Predictors of Glycemic Response to Sulfonylurea Therapy in Type 2 Diabetes Over 12 Months: Comparative Analysis of Linear Regression and Machine Learning Models. JMIR Diabetes 2026;11:e82635 View
  5. Saini J, Thakur A, Yadav D. Precision pharmaceutics: bioinformatics and pharmacogenomics as catalysts for personalized drug therapy. Journal of Pharmacy and Pharmacology 2026;78(2) View
  6. Falcetta P, Zilich R, Baccetti F, Baronti W, Morviducci L, Musacchio N, Muselli M, Ozzello A, Pisani F, Rossi A, Salomone E, Verda D, Candido R, Ponzani P. Identifying Predictors of Early Treatment Intensification in Individuals With Type 2 Diabetes Treated With GLP‐1 Receptor Agonists: A Machine Learning–Based Analysis of a Large Real World Cohort. Diabetes, Obesity and Metabolism 2026 View
  7. Okyere D, Bravo-Merodio L, Xu Y, Guan X, Parkhi D, Gkoutos G, Acharjee A. Drug response in the era of precision medicine: A methodological review. Computational and Structural Biotechnology Journal 2025;27:5503 View
  8. Nagar P, Rashid M, Arora S, Alam S, Agrawal M, Basist P. Harnessing technology and AI-driven innovations in diabetes management: addressing clinical challenges and the rising global burden. International Journal of Diabetes in Developing Countries 2026 View

Conference Proceedings

  1. Harmon A, Stottmann C, Palla P, Ravindran D. 2026 IEEE International Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation (IATMSI). SmartDiabX: An End-to-End AI System for Predicting Undiagnosed Type II Diabetes View