Yogyakarta, Indonesia, 3-4 May 2025 – As part of the Digital Twin Stroke Care Network and StrokeDT project activities, two landmark events were successfully held in Indonesia: a Networking Session (3 May) and a Hybrid Workshop & Visiting Professor Programme (4 May) hosted by Department of Health Policy and Management, Faculty of Medicine, Public Health and Nursing, Universitas Gadjah Mada and supported by The London Digital Twin Research Centre, Middlesex University London and Bach Mai Hospital Vietnam.
The Network brings together researchers, clinicians, and industry leaders to drive innovation, share best practices, and foster interdisciplinary partnerships across the UK, Vietnam, and Indonesia. These May events mark an important step in strengthening regional cooperation and accelerating the use of AI-driven digital twins in stroke care.
🔹 Networking Session: Aligning Cross-Country Research and Data Initiatives
3 May 2025 – Yogyakarta
Hosted at FoMPHN UGM, the Networking Session convened stakeholders from UGM and Sardjito Hospital (Indonesia), Bach Mai Hospital (Vietnam), and LDTRC MDX (The UK) to explore data-sharing opportunities and digital twin model development for stroke prediction and early intervention.
Key discussion points included:
- The potential of sharing real-world hospital data (e.g., from Sardjito Hospital) with appropriate ethical clearance and de-identification for developing AI models
- Integrating stroke datasets from the UK, Indonesia, and Vietnam to enhance generalizability and model accuracy
- Leveraging AI-enabled tools such as breath analysis systems (used for COVID-19 and TB) for other diagnostic applications
- Investigating the use of an MoH-certified AI breath analysis tool, commercially deployed for COVID-19 developed by UGM team as a potential screening solution for other diseases.
- Exploring the opportunity to use real-time monitoring via wearable devices
- Supporting the establishment of a Mini Lab for Digital Twin Stroke Care in Indonesia
- Promoting applications for the London Digital Twin Research Fellowship, open to international researchers interested in AI for health (https://dt.mdx.ac.uk)
The session concluded with a shared commitment to building a Mini Lab Digital Twin for Stroke Care at UGM, serving as a regional hub for model testing, capacity-building, and data integration and fostering collaboration with Sardjito Hospital Stroke team to support clinical validation. The session highlighted shared priorities and affirmed the value of transnational collaboration for building scalable, evidence-based AI applications in health.
🔹 Hybrid Workshop & Visiting Professor “From Data to Policy AI-Driven Digital Twin for Stroke Prevention in Achieving Sustainable Health”
4 May 2025 – Yogyakarta
The following day, the Network hosted a hybrid workshop under the Visiting Professor Program FoMPHN 2025 featuring Prof. Huan X. Nguyen, Director of the London Digital Twin Research Centre, Middlesex University London. His lecture, “StrokeDT: Early Intervention for Minor Stroke Patients in Vietnam and Indonesia using Digital Twinning,” showcased how digital twins can personalize stroke care through real-time prediction, simulation, and tailored treatment planning. Drawing from ongoing studies in Vietnam, he demonstrated how digital twins could help anticipate early neurological deterioration, optimize interventions like thrombolysis and thrombectomy, and enhance post-stroke rehabilitation. This was followed by a talk from Dr. Lutfan Lazuardi, who emphasized the growing burden of stroke in Indonesia and highlighted the need for AI and digital twin technologies to enable early prediction, real-time simulation, and cost-effective policy development. Dr. Lazuardi called for cross-sectoral collaboration to ensure innovation is inclusive, impactful, and grounded in local health system needs.
The workshop also featured two panel sessions:
Panel 1 – “Introduction to Stroke Management: Current Challenges & Future Directions”, moderated by Dr. Farida Niken Astari Nugroho Hati (Neurologist, UGM Academic Hospital), focused on national and regional approaches to stroke care.
- Setiyo Harini, S.K.M., M.Kes (Yogyakarta Provincial Health Office) presented the current stroke burden and public health strategies in the region.
- Dr. Rizaldi Pinzon (Bethesda Hospital Yogyakarta) introduced key stroke management quality indicators aligned with national and AHA/ASA guidelines.
- Dr. Lisda Amalia, Sp.S(K) (PERDOSNI – UNPAD) outlined stroke emergency protocols, including Code Stroke pathways.
- Phan Ha Quan, MSc, BSNT (Bach Mai Stroke Center, Vietnam) shared Vietnam’s experience in expanding stroke-ready hospitals and improving EMS coordination.
Panel 2 – “Opportunities to Use Data Science to Improve Stroke Care and Research”, moderated by Dr. Annisa Ristya Rahmanti (FoMPHN UGM), showcased real-world AI applications and predictive modeling for stroke.
- Dr. Bagas Suryo Bintoro (FoMPHN UGM) emphasized the role of co-designed digital health tools tailored to user needs.
- M. Solihuddin Muhtar, MBA (TMU, Taiwan) shared lessons from using EMR data for stroke prediction and AI development.
- Dr. Afiahayati (Dept. of Computer Science, UGM) discussed explainable machine learning using big data from the academic health system.
- Dr. Cong Minh Tran (University of Oxford) presented predictive modeling of early neurological deterioration in acute ischemic stroke.
- Hanifah Wulandari, MPH (Health Transformation Bureau, UGM) explored the use of DaSK and integrated health data for care quality and research improvement.
These sessions highlighted the need for scalable, data-driven innovations and underscored the value of interdisciplinary, cross-country collaboration to enhance stroke care outcomes.
Acknowledgment: These activities were jointly funded by the 2025 Visiting Professor Guest Lecture (VPGL) Grant from the Faculty of Medicine, Public Health, and Nursing at Universitas Gadjah Mada (UGM) and by the DTStroke Care Network through the Academy of Medical Sciences Grant and the British Council ISFP Project Grant.