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Published on in Vol 10 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/72874, first published .
Family using smartphones and glucose monitor connected to cloud security.

Privacy-Preserving Glycemic Management in Type 1 Diabetes: Development and Validation of a Multiobjective Federated Reinforcement Learning Framework

Privacy-Preserving Glycemic Management in Type 1 Diabetes: Development and Validation of a Multiobjective Federated Reinforcement Learning Framework

Authors of this article:

Fatemeh Sarani Rad1 Author Orcid Image ;   Juan Li1 Author Orcid Image

Journals

  1. Mao N, He J, Chen Q, Xu D, Zhang D. Multiscale materials design and artificial intelligence Integration: Clinical translation pathways and interdisciplinary challenges of wearable glucose sensing technology. Materials Today Chemistry 2026;52:103305 View
  2. Nemane S, Sarad V, P. Tulaskar D, Marode T, Bhangdiya V, Agrawal L, Avthankar A, Kondylakis H, Kulkarni M, Bhaiyya M, Haick H. Federated Learning in Multimodal Healthcare Diagnostics: Privacy-Preserving AI for Biomedical Imaging, Electronic Health Records, Wearables, and Clinical Decision Support. Archives of Computational Methods in Engineering 2026 View