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Peer-reviewedCC BY 4.0Frontiers in Public Health

Editorial: AI and mobile technologies for population-level chronic disease prevention

  • Han Feng1,2
  • Yishi Jia1,2
  • Yingshuo Liu1,2
  • Xiang Li3
  • Duo Yu4
4 affiliations
  1. 1Tulane Research Innovation for Arrhythmia Discovery (TRIAD), Tulane University School of Medicine
  2. 2Tulane Heart and Vascular Institute, Tulane University School of Medicine
  3. 3Division of endocrinology, diabetes, and metabolism, Department of Medicine, College of Medicine, University of Illinois Chicago
  4. 4Division of Biostatistics, Data Science Institute, Medical College of Wisconsin
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Cite

BibTeXRIS
BibTeX
@article{feng2026editorial,
  title = {{Editorial: AI and mobile technologies for population-level chronic disease prevention}},
  author = {Han Feng and Yishi Jia and Yingshuo Liu and Xiang Li and Duo Yu},
  journal = {Frontiers in Public Health},
  year = {2026},
  month = oct,
  doi = {10.3389/fpubh.2026.1975680},
  url = {https://www.frontiersin.org/articles/10.3389/fpubh.2026.1975680/full},
  note = {CC BY 4.0},
}
RIS
TY  - JOUR
TI  - Editorial: AI and mobile technologies for population-level chronic disease prevention
AU  - Han Feng
AU  - Yishi Jia
AU  - Yingshuo Liu
AU  - Xiang Li
AU  - Duo Yu
PY  - 2026
DA  - 2026/10/27
JO  - Frontiers in Public Health
DO  - 10.3389/fpubh.2026.1975680
UR  - https://www.frontiersin.org/articles/10.3389/fpubh.2026.1975680/full
SN  - 2296-2565
ER  -