Digital Twin Technology in Resolving Polycystic Ovary Syndrome and Improving Metabolic Health: A Comprehensive Case Study
This case highlights the potential of DT technology in managing PCOS, showing significant metabolic and reproductive improvements, suggesting promising future research directions.
Authors
- Anuj Maheshwari (ORCID: https://orcid.org/0009-0002-0091-6847)
- Mohamed Thajudeen
- Shashank Joshi (ORCID: https://orcid.org/0000-0002-0990-5821)
- Mukulesh Gupta
- Paramesh Shamanna
- Sanjay Bhat
- R Shivakumar
- Shashikiran Patil
- Komal Kumar (ORCID: https://orcid.org/0000-0003-0723-2819)
- Abhijit Kulkarni (ORCID: https://orcid.org/0000-0001-9045-0475)
- Ranjita Kulkarni
- Ashok Keshavamurthy
Institutions
- Lilavati Hospital & Research Centre (IN)
- Mountain View College (US)
- M.V. Hospital and Research Centre (IN)
- Bangalore Diabetes Centre (IN)
- Indian Academy of Neurosciences (IN)
Publication Details
- Journal
- AACE Clinical Case Reports
- Published
- 2024-11-22
- DOI
- https://doi.org/10.1016/j.aace.2024.11.004
- Citations
- 5
- Primary Topic
- Impact of AI and Big Data on Business and Society
- Type
- article
- Field-Weighted Citation Impact
- 2.45