ICDM 2024

Epidemiology and genetics 1 Caring for the future in GDM: pathways, precision, and prevention Chair(s): Hak Chul Jang, Mi Hae Seo
Thursday 10 October, 13:40~15:10
Room 3

This session offers a comprehensive exploration of Gestational Diabetes Mellitus (GDM) through diverse and interconnected topics. It begins with an examination of the heterogeneity and precision medicine of GDM, followed by insights into the link between metabolic dysfunction-associated fatty liver disease and cardiovascular disease in GDM patients. The session also highlights novel insights in diagnostic and treatment strategies for early gestational diabetes and emphasizes the importance of preventing the progression to type 2 diabetes postpartum.

S8-1 Marie-France HivertHarvard University, USA: Heterogeneity of gestational diabetes: paving the path for precision medicine

S8-2 Seung Mi LeeSeoul National University, Korea: MAFLD, connecting GDM and cardiovascular disease

S8-3 Arianne SweetingUniversity of Sydney, Australia: Diagnosis and treatment of early gestational diabetes

S8-4 Joon Ho MoonSeoul National University, Korea: Prevention of type 2 diabetes after GDM pregnancy

Epidemiology and genetics 2 Innovative data analysis and large-scale biobanks: transforming diabetes and metabolic disease research Chair(s): Hyeong-Kyu Park, Sang Youl Rhee
Thursday 10 October, 17:00~18:30
Room 3

With advancements in large-scale biobank datasets and analysis technologies, studies using innovative data analysis are being published. In this session, we will discuss research utilizing largescale biobanks and new analysis technologies in diabetes and metabolic diseases. We will introduce an in-silico score for coronary artery disease that uses machine learning to identify cardiometabolic disease markers from biobank data. We will also examine how precision nutrition is transforming diabetes management and treatment. Additionally, we will explore type 2 diabetes microbiome research findings from shotgun metagenomic analysis. Finally, we will present new insights into diabetes prevention and management from omics research conducted in the Korean diabetes prevention study.

S11-1 Ron DoIcahn School of Medicine at Mount Sinai, USA: Machine learning-based prediction of coronary artery disease risk

S11-2 Jordi MerinoUniversity of Copenhagen, Denmark: Precision nutrition in diabetes

S11-3 Sunjae LeeGIST, Korea: Risk stratifications of patients with T2D by integrative multi-omics approaches

S11-4 Min-Jeong ShinKorea University, Korea: Epigenetics in the management of cardiometabolic traits: lessons from the KDPS multi-omics study

Epidemiology and genetics 3 - KDA–KNIH–KGS joint session (K) Current status and challenges in elderly diabetes Chair(s): Kang Seo Park, Won-Ho Kim
Friday 11 October, 14:20~15:50
Room 3

Advancements in large-scale biobank datasets and analysis technologies are driving the publication of innovative research. In this session, we will discuss studies leveraging these resources in diabetes and metabolic diseases. We will introduce an in-silico score for coronary artery disease that employs machine learning to identify cardiometabolic disease markers from biobank data. We will also explore how precision nutrition is revolutionizing diabetes management and treatment. Additionally, we will review findings from type 2 diabetes microbiome research using shotgun metagenomic analysis. Finally, we will present new insights into diabetes prevention and management from the Korean Diabetes Prevention Study's omics research.

S17-1 Seok-Jun YoonKorea University, Korea: Quantifying the disease burden of elderly diabetes

S17-2 Young Jin KimKorea National Institute of Health, Korea: Longitudinal study of accelerated aging and its relationship with type 2 diabetes

S17-3 Kwang-il KimSeoul National University, Korea: Advancing geriatric care in elderly diabetes: insights from recent studies and research

S17-4 Sung Wan ChunSoonchunhyang University, Korea: Research advances in metabolic regulation in elderly diabetes

Panel discussion

S17-Panel 1
Joo Hyun LimKorea National Institute of Health, Korea
S17-Panel 2
Eunok BahngKorea Disease Control and Prevention Agency, Korea
S17-Panel 3
Kang Seo ParkEulji University, Korea
S17-Panel 4
Jae-Seung YunThe Catholic University of Korea, Korea

구분		사전등록 (~2024년 9월 2일까지)		현장등록 (2024년 10월 9일 ~ 11일)
구분		KDA회원	비회원	KDA회원	비회원
9~11일 등록	전문의(개원의, 교수, 봉직의, 전임의 포함)	₩280,000	₩350,000	₩370,000	₩450,000
9~11일 등록	전공의, 간호사, 영양사, 사회복지사, 약사, 연구원, 운동처방사 및 기타 (군의관 및 공중보건의 포함)	₩180,000	₩230,000	₩250,000	₩270,000
One-day 등록	전문의(개원의, 교수, 봉직의, 전임의 포함)	₩170,000	₩210,000	-
One-day 등록	전공의, 간호사, 영양사, 사회복지사, 약사, 연구원, 운동처방사 및 기타 (군의관 및 공중보건의 포함)	₩110,000	₩140,000	-
저녁 식사	전체	₩55,000

Program details

평점안내 (For Korean)