| Category |
Gastroenterology & Hepatology |
| Manuscript Type |
Review |
| Article Title |
Digital twins in gastroenterology: From computational modeling to precision medicine and clinical translation
|
| Manuscript Source |
Invited Manuscript |
| All Author List |
Rishi Chowdhary, Yousra Iftequar, FNU Anveshak, Anushri Parikh, Kridhay Jindal, Kirti Arora and Rahul Chowdhary |
| ORCID |
|
| Funding Agency and Grant Number |
|
| Corresponding Author |
Rishi Chowdhary, Department of Medicine, MetroHealth Medical Center, Department of Medicine, MetroHealth Medical Center, 2500 MetroHealth Drive, Cleveland, OH, 44109, USA., Department of Medicine, MetroHealth Medical Center, 2500 MetroHealth Drive, Cleveland, OH, 44109, USA. rxc822@case.edu, Cleveland, 44109, United States. rxc822@case.edu |
| Key Words |
Digital twin; Virtual patient; Personalized medicine; Computational modeling; Systems biology; In silico modeling; Artificial intelligence; Machine learning; Predictive modeling |
| Core Tip |
Digital twins are a transformative shift in the field of gastroenterology as they allow dynamic, patient-specific virtual models that combine multimodal clinical, imaging and multi-omics data to mimic disease evolution and response to therapy. Digital twins provide a pathway for truly personalized and predictive care, as they can be updated in real-time and used for in silico testing of intervention strategies, unlike traditional predictive models. Emerging applications in hepatology, gastrointestinal oncology, inflammatory bowel disease, motility disorders and microbiome science underscore their potential. However, challenges related to data integration, validation, scalability and ethical governance need to be addressed before clinical implementation. |
| Publish Date |
2026-08-06 07:34 |
| Citation |
Chowdhary R, Iftequar Y, Anveshak F, Parikh A, Jindal K, Arora K, Chowdhary R. Digital twins in gastroenterology: From computational modeling to precision medicine and clinical translation. Artif Intell Gastroenterol 2026; 7(2): 121977
|
| URL |
https://www.wjgnet.com/2644-3236/full/v7/i2/121977.htm |
| DOI |
https://doi.org/10.35712/aig.121977 |
