iDT-diet: Toward Personalized Health Forecasting-An Intelligent Digital Twin Model for Diet-Influenced Biomarker Trajectories (Student Abstract)
- DOI
- 10.1609/aaai.v40i48.42260
- Published
- 2026-03-14
- Container
- Proceedings of the AAAI Conference on Artificial Intelligence
- Publisher
- Association for the Advancement of Artificial Intelligence (AAAI)
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1609/aaai.v40i48.42260,
title = {iDT-diet: Toward Personalized Health Forecasting-An Intelligent Digital Twin Model for Diet-Influenced Biomarker Trajectories (Student Abstract)},
author = {Ashikur Nobel and Jacob Matos and Honggang Wang and Hua Fang},
year = {2026},
journal = {Proceedings of the AAAI Conference on Artificial Intelligence},
doi = {10.1609/aaai.v40i48.42260},
url = {https://doi.org/10.1609/aaai.v40i48.42260}
}RIS
TY - JOUR TI - iDT-diet: Toward Personalized Health Forecasting-An Intelligent Digital Twin Model for Diet-Influenced Biomarker Trajectories (Student Abstract) AU - Ashikur Nobel AU - Jacob Matos AU - Honggang Wang AU - Hua Fang PY - 2026 JO - Proceedings of the AAAI Conference on Artificial Intelligence DO - 10.1609/aaai.v40i48.42260 UR - https://doi.org/10.1609/aaai.v40i48.42260 ER -
APA
Nobel, A., Matos, J., Wang, H., & Fang, H. (2026). iDT-diet: Toward Personalized Health Forecasting-An Intelligent Digital Twin Model for Diet-Influenced Biomarker Trajectories (Student Abstract). Proceedings of the AAAI Conference on Artificial Intelligence. https://doi.org/10.1609/aaai.v40i48.42260
Source records
- crossref · retrieved 2026-09-25T05:00:47.540Z