Using AI‐generated digital twins to boost clinical trial efficiency in Alzheimer's disease
Digital twins (DTs) were generated by artificial intelligence (AI) models trained on historical datasets.Use of digital twin (DT) as a covariate in the analysis model can reduce treatment effect variability.By coupling DT with the analysis model, trial sample size can be reduced.DT technology was accepted by the U.S. Food and Drug Administration and European Medicines Agency for applications in clinical trials.
Authors
- Hana Florian
- Ole Graff
- Weining Robieson (ORCID: https://orcid.org/0000-0003-0557-1075)
- Jessica L. Ross (ORCID: https://orcid.org/0000-0003-4577-4934)
- Shola Lynch
- Coco Kusiak
- Deli Wang (ORCID: https://orcid.org/0000-0003-2474-6811)
- John R. Walsh (ORCID: https://orcid.org/0000-0002-8461-1161)
- Run Zhuang
Institutions
- AbbVie (United States) (US)
- PresenceLearning (United States) (US)
Publication Details
- Journal
- Alzheimer s & Dementia Translational Research & Clinical Interventions
- Published
- 2025-10-01
- DOI
- https://doi.org/10.1002/trc2.70181
- Citations
- 2
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 1.31