Dicky L. TahaparyDr.

Dr. Dicky Tahapary is a consultant endocrinologist and Associate Professor at the Faculty of Medicine, Universitas Indonesia–Dr. Cipto Mangunkusumo National General Hospital. He leads the Metabolic-Cardiovascular-Aging Cluster at the Indonesian Medical Education and Research Institute (IMERI) and coordinates Indonesia’s national initiatives on precision medicine for diabetes and metabolic diseases. His work bridges clinical endocrinology, population-based research, and digital health innovation. His current focus includes implementing AI-driven solutions and genomic platforms to personalize diabetes management in Indonesia.

21 MARCH

Time	Session

10:20 11:10	Oral Presentation 4: Metabolic Synergy: Diabetes & Obesity Management Chee Keong SeeMalaysia Moderator AI and Digital Diabetes Care: Awareness, Utilisation and Perspectives from Malaysia Dicky L. TahaparyIndonesia Moderator Precision Diabetes Clustering for Young-Onset Diabetes (in Indonesia Populations) 201BC

22 MARCH

Time	Session

14:00 15:30	[Symposium] AI in Diabetic Management Yao Hsien TsengTaiwan Moderator AI and Clinical Decision Support System (CDSS) for Type 1 Diabetes Luqman IbrahimMalaysia Speaker AI and Clinical Decision Support System (CDSS) for Type 1 Diabetes AI applications and insulin management Iris Isip-TanPhilippines Speaker AI applications and insulin managementArtificial intelligence is evolving from novel research concepts to practical clinical tools. This presentation will provide a broad overview of the current AI ecosystem, from automated insulin delivery (AID) systems to machine learning algorithms designed for glucose prediction and clinical decision support. The unique regional perspective will be addressed, exploring how diverse healthcare infrastructures and reimbursement models influence the adoption of AI innovations. The discussion will conclude by identifying key challenges in implementation, such as algorithmic equity and data security, to outline a framework for the future integration of AI into daily practice. Precision Diabetes Clustering for Young-Onset Diabetes (in Indonesia Populations) Dicky L. TahaparyIndonesia Speaker Precision Diabetes Clustering for Young-Onset Diabetes (in Indonesia Populations) 201AF

Time

Session

14:00

15:30

[Symposium] AI in Diabetic Management

Yao Hsien TsengTaiwan Moderator

AI and Clinical Decision Support System (CDSS) for Type 1 Diabetes

Luqman IbrahimMalaysia Speaker AI and Clinical Decision Support System (CDSS) for Type 1 Diabetes
AI applications and insulin management

Iris Isip-TanPhilippines Speaker AI applications and insulin managementArtificial intelligence is evolving from novel research concepts to practical clinical tools. This presentation will provide a broad overview of the current AI ecosystem, from automated insulin delivery (AID) systems to machine learning algorithms designed for glucose prediction and clinical decision support. The unique regional perspective will be addressed, exploring how diverse healthcare infrastructures and reimbursement models influence the adoption of AI innovations. The discussion will conclude by identifying key challenges in implementation, such as algorithmic equity and data security, to outline a framework for the future integration of AI into daily practice.
Precision Diabetes Clustering for Young-Onset Diabetes (in Indonesia Populations)

Dicky L. TahaparyIndonesia Speaker Precision Diabetes Clustering for Young-Onset Diabetes (in Indonesia Populations)

201AF

Dicky L. TahaparyDr. Indonesia

21 MARCH

22 MARCH