The Digital Twin Network for Stroke at Universitas Gadjah Mada, Indonesia has secured internal funding under the Community Grant Postdoctoral FoMPHN 2025 from the Faculty of Medicine, Public Health, and Nursing (FoMPHN, UGM). The project, titled “Establishing the Foundations for a Digital Twin in Stroke Prevention and Care: Harnessing AI Prediction and Delphi Consensus,” will develop an AI-driven stroke risk prediction model using global datasets for training and local datasets for validation.
This initiative will identify key risk factors to guide prevention strategies and optimize referral pathways. A Delphi study will engage multidisciplinary experts to generate consensus-based “what-if” scenarios for targeted interventions. The project aims to deliver a validated AI prediction model and a framework for a comprehensive digital twin, supporting personalized prevention, early detection, and community health policy-making.
A mini-lab for Digital Twin Stroke Care will be set up at FK-KMK UGM, supported by UGM Academic Hospital and Bethesda Hospital. This project strengthens UGM’s collaboration with the London Digital Twin Research Centre, Middlesex University London, advancing data-driven, scalable stroke care solutions, particularly for resource-limited settings.
Formal announcement https://research.fkkmk.ugm.ac.id/2025/02/27/pengumuman-penerima-hibah-damas-penelitian-2025/
