Program details
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Research group on beta cell biology and islet transplantation
Beta cell homeostasis and metabolic tissue identity: molecular mechanisms and therapeutic implications
Chair(s): Kyuchang Won, Hail Kim
Thursday 25 September, 15:00~16:20
Room 1
(Vista 1+2, B2F)
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RG01-L1
Rohit KulkarniJoslin Diabetes Center, USA
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Mechanisms underlying β-cell compensation to prevent progression of diabetes
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RG01-L2
Feyza EnginUniversity of Wisconsin-Madison, USA
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ER stress enforces adaptive β-cell plasticity in type 1 diabetes
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RG01-L3
Young Min ChoSeoul National University, Korea
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Targeting β-cell senescence through mitochondrial-derived peptides
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Research group on diabetic nephropathy
Current challenges and emerging perspectives in diabetic kidney disease research
Chair(s): Nan Hee Kim, Dong-Lim Kim
Thursday 25 September, 15:00~16:20
Room 2
(Vista 3, B2F)
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Diabetic kidney disease (DKD) is the leading cause of end-stage kidney disease. It is a multifactorial condition, and research has shown that youth-onset type 2 diabetes (T2DM) carries a higher risk of progressive DKD compared to adult-onset T2DM. While several medications are available to help prevent DKD, significant unmet needs remain in this area. This session will discuss the characteristics of DKD in the Korean population and among youth-onset T2DM, as well as key considerations for DKD research to address these unmet needs.
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RG02-L1
Jung A KimKorea University, Korea
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Trajetories of DKD progression in Korean cohort
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RG02-L2
Petter BjornstadUW Medicine Diabetes Institute, USA
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Diabetic kidney disease in young people: how it differs from adult case
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RG02-L3
Jennifer B. GreenDuke University, USA
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Challenges and opportunities in chronic kidney disease trials
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Research group on genetics
Diabetes genomics, metabolomics, and big data platforms
Chair(s): Sung-Hoon Kim, Suk Kyeong Kim
Thursday 25 September, 15:00~16:20
Room 3
(Walker hall 1, 1F)
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This session spotlights the integration of genomics, metabolomics, and national big data platforms in advancing diabetes research. Presentations will cover key resources like the Type 2 Diabetes Knowledge Portal, Korea’s national bio big data project, polygenic risk scores, and metabolomic signatures. Together, these initiatives demonstrate the power of large-scale data in uncovering disease mechanisms and enabling precision prevention and treatment strategies for diabetes.
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RG03-L1
Noel BurttBroad Institute of Harvard and MIT, USA
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Type 2 diabetes knowledge portal: data & tools you need for diabetes research
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RG03-L2
Jongbum JeonKOBIC, Korea
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Challenges and opportunities of the national genome projects in Korea
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RG03-L3
Alisa ManningMassachusetts General Hospital, USA
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Polygenic risk score of diabetes
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RG03-L4
Hyunbeom LeeKIST, Korea
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Metabolomics-based insights into diabetic kidney disease and drug response from a large-scale clinical cohort
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Research group on energy metabolism
Metabolic organ experimental modelling
Chair(s): Sunghee Choi, Obin Kwon
Thursday 25 September, 16:30~17:50
Room 3
(Walker hall 1, 1F)
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This session will highlight cutting-edge technologies in understanding of metabolic diseases, including single-cell RNA sequencing, organoid models, and organ-on-chip systems. Topics will include understanding adipose tissue cellular heterogeneity, exploring mechanisms of energy metabolism and therapeutic target discovery in pancreatic cancer using organoid models, and the application of organ-on-chip technology in metabolic disease modeling.
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RG05-L1
Lucas MassierHelmholtz Munich, Germany
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Adipose tissue microarchitecture and its relevance for metabolic disorders
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RG05-L2
Noo Li JeonSeoul National University, Department of Mechanical Engineering, Korea
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Vascularized microphysiological systems: high-throughput micro-organs on a plate
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RG05-L3
Sungsoon FangYonsei University, Department of Biomedical Science, Korea
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Proteostasis & ERR alpha-mediated mitochondrial activity in Pancreatic cancer
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Research group on diabetic neuropathy
Diabetic neuropathy: bridging the gaps in research and practice
Chair(s): Ie Byung Park, Chong Hwa Kim
Thursday 25 September, 15:00~16:20
Room 5
(Art Hall, 4F)
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This session on Diabetic Neuropathy: Bridging the Gaps in Research and Practice highlights emerging insights into novel biomarkers and neuroinflammation (Lecture 1), explores key molecular mechanisms in cardiovascular autonomic neuropathy (Lecture 2), and presents advanced integrative management strategies for peripheral neuropathy (Lecture 3). these lectures bridge research and clinical practice, promising enhanced diagnostic precision, targeted interventions, and comprehensive patient care strategies to improve neuropathy outcomes and quality of life.
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RG04-L1
Jeehee YoonChonnam National University, Korea
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Novel biomarkers and neuroinflammation in diabetic neuropathy: from bench to bedside
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RG04-L2
Jae-Seung YunThe Catholic University of Korea, Korea
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Molecular mechanisms underpinning of cardiovascular autonomic neuropathy: translating research to practice
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RG04-L3
Bin LuFudan University, China
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Integrative and cutting-edge approaches to diabetic peripheral neuropathy management
- Panel discussion
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RG04-P1
Seon Mee KangSoonchunhyang University, Korea
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RG04-P2
Eun Sook KimThe Catholic University of Korea, Korea
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RG04-P3
Chong Hwa Kim Sejong General Hospital, Korea
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Research group on CGM and AID 1
Hot topics in CGM for intensive insulin therapy
Chair(s): Jae Hyeon Kim, Jae Hyuk Lee
Thursday 25 September, 16:30~17:50
Room 5
(Art Hall, 4F)
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This session will highlight recent advances and key challenges in continuous glucose monitoring (CGM) for intensive insulin therapy. Experts will discuss nationwide education initiatives including RCT data on CGM-focused education for T1D, the role of current and next generation smart insulin pens, and explore whether time in tight range is superior to time in range for prediction of A1C targets and albuminuria. These insights will help update clinical practice with the latest technological advances.
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RG06-L1
Jee Hee YooChung-Ang University, Korea
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A nationwide education program in Korea for T1D: focused on CGM
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RG06-L2
So Yoon KwonDaegu Catholic University, Korea
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Smart insulin pen in 2025
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RG06-L3
Ji Yoon KimSungkyunkwan University, Korea
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Time in tight range in insulin users: better than time in range?
- Panel discussion
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RG06-P1
Sun-Joon MoonSungkyunkwan University, Korea
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RG06-P2
Soo Kyoung KimGyeongsang National University, Korea
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RG06-P3
Sang-Man JinSungkyunkwan University, Korea
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Research group on development of new drug and technology on metabolic disease
Emerging vascular and metabolic modulators in tissue remodeling and fibrosis
Chair(s): Choon Hee Chung, Seung Soon Im
Saturday 27 September, 14:40~16:00
Room 1
(Vista 1+2, B2F)
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This session explores emerging mechanisms linking vascular signaling, metabolism, and tissue remodeling in chronic diseases. Presentations will highlight recent advances in how cellular interactions and regulatory pathways influence fibrosis, muscle health, and systemic metabolic balance. By integrating diverse models and approaches, the session aims to offer insights into novel therapeutic strategies targeting complex conditions involving the liver, vasculature, and musculoskeletal system.
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RG12-L1
Yong Soo KimNovatis Pharma AG, Korea
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MASH drug pipelines: from discovery to clinical translation
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RG12-L2
Joonghoon ParkSeoul National University, Graduate School of International Agricultural Technology, Korea
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Prokineticin receptor 1 (PROKR1/GPR73) agonist to treat sarcopenia through oxidative muscle fiber enhancement
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RG12-L3
You Mie LeeKyungpook National University, Department of Pharmacology, Korea
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Maintaining LSEC gatekeeping function by RUNX3 is crucial for prevention of liver fibrosis
- Panel discussion
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RG12-P1
Eun Yeong HaKeimyung University, Korea
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RG12-P2
Du-Hyong ChoYeungnam University, Department of Pharmacology, Korea
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RG12-P3
Eun-Hee ChoKangwon National University, Korea
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Research group on diabetes in old age
Highlights of position statement on diabetes treatment for old age in Korea
Chair(s): Dong-Hyeok Cho, Young Jung Cho
Saturday 27 September, 14:40~16:00
Room 2
(Vista 3, B2F)
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RG08-L1
Sung Hoon YuHanyang University, Korea
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Assessment and frailty
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RG08-L2
Eun RohSeoul National University, Korea
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Glycemic target and pharmacotherapy
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RG08-L3
Yong-ho LeeYonsei University, Korea
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Long term care and end of life care
- Panel discussion
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RG08-P1
Kyung-Soo KimCHA University, Korea
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RG08-P2
Young Na The Catholic University of Korea, Yeouido ST. Mary’s Hospital, Korea
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RG08-P3
Junghyun NohInje University, Korea
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RG08-P4
Jeong Hyun LimSeoul National University Hospital, Department of Nutrition, Korea
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RG08-P5
Sangmo HongHanyang University, Korea
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Research group on diabetic vascular disease
Unveiling hidden culprits in diabetic atherosclerosis
Chair(s): In-Kyung Jeong, Hunsang Lee
Saturday 27 September, 14:40~16:00
Room 3
(Walker hall 1, 1F)
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Recent research has revealed that cellular players such as monocytes, macrophages, mitochondria, and bone marrow stem cells are key contributors to diabetic atherosclerosis. These components offer novel mechanistic insights into the pathogenesis of diabetic vascular disease. The Research Group on Diabetic Vascular Disease presents a focused session featuring three leading experts in the field. Each lecture will highlight emerging evidence on cellular contributors and their roles in vascular inflammation and remodeling. Together, the session will explore the translational implications of these findings for future therapeutic strategies.
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RG09-L1
Yong Joo AhnPOSTECH, Korea
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The role of monocytes and macrophages in atherosclerosis
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RG09-L2
Andreas ZirlikMedical University of Graz, Austria
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Immunologic patterns driving and predicting risk in diabetic atherosclerosis
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RG09-L3
Kae Won ChoSoonchunhyang University, Korea
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Obesity-educated bone marrow stem cells: a hidden driver of atherosclerosis
- Panel discussion
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RG09-P1
You-Cheol HwangKyung Hee University, Korea
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RG09-P2
Chang Hee JungUniversity of Ulsan, Korea
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RG09-P3
Mihye SeoSoonchunhyang University, Korea
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Research group on digital health (K)
Digital health and artificial intelligence: current trends and future directions in chronic disease research
Chair(s): Tae Sun Park, Hye Jin Yoo
Saturday 27 September, 14:40~16:00
Room 4
(Walker hall 2, 1F)
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This session explores the latest technologies and research methodologies in digital health, emphasizing the role of artificial intelligence in chronic disease management and behavioral analysis. Key topics include modeling techniques for AI research in chronic diseases, AI applications in decoding behavior, and advanced data platform technologies supporting multi-institutional medical big data research. Additionally, the session provides insights into the activities and future plans of the Korean Diabetes Association Digital Health Research Group, aiming to foster practical implementations in clinical settings.
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RG10-L1
Seogsong JeongKorea University College of Medicine, Korea
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Modeling research techniques for artificial intelligence research on chronic diseases and their development direction
(만성질환 인공지능 연구를 위한 모델링 연구기법과 그 발전 방향)
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RG10-L2
Jee Hang LeeSangmyung University, College of Biohealth Convergence and Innovation, Korea
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Artificial intelligence that unlocks the secrets of behavior
(행동의 비밀을 푸는 인공지능)
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RG10-L3
Hancheol JekalKakaoHealthcare Corp., Korea
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Introduction to the latest data platform technology for multi-institutional medical big data research
(다기관 의료 빅데이터 연구를 위한 최신 데이터 플랫폼 기술의 소개)
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RG10-L4
Sang Youl RheeKyung Hee University, Korea
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Introduction to the Korean diabetes association digital health research group
(대한당뇨병학회 디지털헬스연구회 소개)
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Research group on CGM and AID 2
Maximizing CGM and AI in diabetes care: from personalized timing to automated systems
Chair(s): Soon Hee Lee, Keeho Song
Saturday 27 September, 14:40~16:00
Room 5
(Art Hall, 4F)
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This session focuses on maximizing the potential of continuous glucose monitoring (CGM) and automated insulin delivery (AID) system. Presentations will cover personalized strategies such as optimal exercise timing, improving AID system performance, and the feasibility of fully closed-loop approaches. Together, these talks highlight the integration of technology and individualization to enhance clinical outcomes.
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RG11-L1
Yeoree YangThe Catholic University of Korea, Korea
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Timing matters: optimizing exercise for type 2 diabetes management
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RG11-L2
Revital NimriTel-Aviv University, Israel
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Strategies for optimal performance in the use of automated insulin delivery systems
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RG11-L3
Sun-Joon MoonSungkyunkwan University, Korea
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Exploring the feasibility of fully closed-loop systems in type 2 diabetes treatment
- Panel discussion
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RG11-P1
Young Sang LyuChosun University, Korea
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RG11-P2
Jun Hwa HongEulji University, Korea
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RG11-P3
Da Young LeeKorea University, Korea