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Published on in Vol 5 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/87768, first published .
Doctor discusses medical results on a tablet with an elderly male patient.

AI-Driven Digital Twin Architecture for Multimodal Prediction and Adaptive Intervention in Cognitive Aging

AI-Driven Digital Twin Architecture for Multimodal Prediction and Adaptive Intervention in Cognitive Aging

Authors of this article:

Yu Liu1 Author Orcid Image ;   Keming Yan1 Author Orcid Image ;   Siying Ma2 Author Orcid Image ;   Hao Deng3 Author Orcid Image ;   Jian Kong1 Author Orcid Image

Yu Liu   1 * , MD, MS ;   Keming Yan   1 * , MS ;   Siying Ma   2 , MS ;   Hao Deng   3 , MD, MPH, MBA, DrPH ;   Jian Kong   1 , MD, MPH, MS

1 Department of Psychiatry, Harvard Medical School, Massachusetts General Hospital, Boston, MA, United States

2 Microsoft Customer and Partner Solutions (MCAPS), Microsoft, Cambridge, MA, United States

3 Department of Anesthesia, Critical Care and Pain Medicine, Harvard Medical School, Massachusetts General Hospital, Boston, MA, United States

*these authors contributed equally

Corresponding Author:

  • Jian Kong, MD, MPH, MS
  • Department of Psychiatry
  • Harvard Medical School
  • Massachusetts General Hospital
  • 62 13th Street
  • Charlestown
  • Boston, MA 02129
  • United States
  • Phone: 1 617-726-7893
  • Email: jkong2@mgh.harvard.edu