Multimodal large language models and mechanistic modeling for glucose forecasting in type 1 diabetes patients
This study demonstrates the potential of combining mLLMs with mechanistic modeling for personalized diabetes management. The optimized Bézier curve approach provides superior temporal mapping while patient-specific models reveal individual metabolic signatures essential for personalized care.
Authors
- Julia Sellin (ORCID: https://orcid.org/0000-0001-5354-2872)
- Andreas Schuppert (ORCID: https://orcid.org/0000-0003-3783-6605)
- Moein E. Samadi (ORCID: https://orcid.org/0000-0002-3916-1085)
- Jonas Wolber (ORCID: https://orcid.org/0009-0005-3385-5528)
Institutions
- RWTH Aachen University (DE)
Publication Details
- Journal
- Journal of Biomedical Informatics
- Published
- 2025-10-31
- DOI
- https://doi.org/10.1016/j.jbi.2025.104945
- Citations
- 1
- Primary Topic
- Diabetes Management and Research
- Type
- article
- Field-Weighted Citation Impact
- 1.29