Dr.Iris ThieleIsip-Tan

Dr. Iris Thiele Isip Tan is a professor at the University of the Philippines College of Medicine, Chief of the UP Medical Informatics Unit, Director of the UP Manila Interactive Learning Center and Chair of the UP Manila Digital Health Committee. She is a university scientist and a practicing internist-endocrinologist with a master's degree in Health Informatics. Her research interests include medical education, mobile health, consumer health informatics, infodemic management, telehealth, and artificial intelligence. She has conceptualized and facilitated workshops on artificial intelligence for medical educators and researchers. She completed the World Health Organization global infodemic manager training in the inaugural batch of 2020. She was the first recipient of the University of the Philippines System Gawad Pangulo Award for Progressive Teaching & Learning in 2015. In 2021, she was recognized by the Metrobank Foundation as an Outstanding Filipino in higher education.

22 MARCH

Time	Session

14:00 15:30	[Symposium] AI in Diabetic Management 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

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

Dr.Iris ThieleIsip-Tan Philippines

22 MARCH