Program details
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Epidemiology and genetics 1
The future of diabetes management: data and AI-driven innovation
Chair(s): Ji Oh Mok, Jae Hyoung Cho
Friday 26 September, 08:40~10:00
Room 3
(Walker hall 1, 1F)
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This session highlights recent advancements in predicting and managing diabetic complications through innovative data-driven approaches and artificial intelligence. It covers topics ranging from predictive models using multi-center clinical data, multimodal AI integration of clinical and imaging data, to exploring the potential of large-scale language models in diabetes clinical practice. The session aims to discuss cutting-edge technologies and research outcomes poised to shape the future of diabetes management and enhance real-world clinical practices.
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S13-L1
Hyunji SangKyung Hee University, Korea
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Model for predicting diabetic complications using multi-center clinical data
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S13-L2
Seong Jae HwangYonsei University, Department of Artificial Intelligence, Korea
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Multimodal AI integrating clinical and imaging data in diabetes mellitus
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S13-L3
Jaewoo KangKorea University, Korea
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Leveraging domain-specific language models for clinical decision support in diabetes
- Panel discussion
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S13-P1
Soo Jin YunKyung Hee University, Korea
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S13-P2
Eun-Hee ChoKangwon National University, Korea
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S13-P3
Jeonghoon LeeKakaoHealthcare Corp., Korea
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Epidemiology and genetics 2
Genetic insights unraveling novel drug targets and underlying heterogeneity in diabetes
Chair(s): Kyong Soo Park, Eun Seok Kang
Friday 26 September, 13:30~14:50
Room 3
(Walker hall 1, 1F)
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This session explores cutting-edge advances in diabetes research, highlighting genetic, metabolomic, and proteomic insights into disease heterogeneity and drug target discovery. Speakers will discuss novel frameworks such as PIGEAN, the genetic basis of diabetes subtypes, and the promise of AI-driven approaches in therapeutic development. Together, these talks underscore the growing potential of precision medicine in transforming diabetes care.
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S12-L1
Jason FlannickBoston Children's Hospital, USA
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Extending the concept genetic support for the involvement of genes in human disease
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S12-L2
Alisa ManningMassachusetts General Hospital, USA
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Genetic dissection of heterogeneity in diabetes
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S12-L3
Soo Heon KwakSeoul National University, Korea
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Metabolomic and proteomic markers of diabetes
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S12-L4
Hyunjin ShinMOGAM Institute for Biomedical Research, Korea
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Transforming drug discovery with AI: a future outlook in metabolic diseases
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Epidemiology and genetics 3
Optimal strategies in older adults with diabetes
Chair(s): Seok Won Park, Dong-Hyeok Cho
Saturday 27 September, 11:00~12:20
Room 3
(Walker hall 1, 1F)
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This session provides a comprehensive overview of personalized care for older adults with diabetes, exploring current epidemiologic characteristics, optimal management of sarcopenia, and appropriate pharmacologic treatments. The session will culminate with the presentation of the new KDA position statement, offering an essential roadmap for clinicians to establish a standard of care for this growing and vulnerable population.
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S14-L1
Ji Hye HeoHallym University, Korea
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Current epidemiologic and clinical characteristics of older adults with diabetes in Korea
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S14-L2
Yoshitaka HashimotoMatsushita Memorial Hospital, Japan
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Optimal management for sarcopenia in older adults with diabetes
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S14-L3
Hye Seung JungSeoul National University, Korea
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Optimal pharmacologic treatment strategies in older adults with diabetes
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S14-L4
Jae-Seung YunThe Catholic University of Korea, Korea
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KDA position statement: recommendations for the optimal management of diabetes in older adults