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Interplay between molecular and environmental factors in the new era of precision medicine
Jordi Merino Ribas University of Copenhagen, Denmark 13:00~13:20 -
Human microbiome and the path to cardiometabolic health
Hyun Ju You Seoul National University, Republic of Korea 13:20~13:40 -
Iron overload, autophagy dysfunction, and ferroptosis: mechanistic insights into cardiometabolic disease
Hyekyoung Sung York University, Canada 13:40~14:00 - Panel Discussion 14:00~14:30
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Epidemiologic evidence on Lp(a) and ASCVD in Asian populations
Young Woo Jang Gachon University, Republic of Korea 13:00~13:20 -
The inverse link between Lp(a) and metabolic risk: signal or noise?
Jung A Kim Korea University, Republic of Korea 13:20~13:40 -
Lp(a) testing today: mind the method, mind the unit
Sang-Guk Lee Yonsei University, Republic of Korea 13:40~14:00 - Panel Discussion 14:00~14:30
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From nanoparticles to biocides: how toxic chemicals alter lipid homeostasis and accelerate atherosclerotic events
Ok-Nam Bae Hanyang University, Republic of Korea 13:00~13:20 -
Immune modulation of lipid metabolism promotes BAT whitening under thermoneutral conditions
Jun Young Hong Yonsei University, Republic of Korea 13:20~13:40 -
Role of MCU in human platelet aggregation
Jin O-Uchi University of South Florida, USA 13:40~14:00 - Panel Discussion 14:00~14:30
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Coronary atherosclerosis and cardiovascular risk prediction through AI-assisted stress echocardiography: insights from the PROTEUS RCT trial
Paul Leeson University of Oxford, UK 14:40~15:00 -
AI-enhanced ECG for acute myocardial infarction detection and cardiovascular risk stratification
Junmyung Kwon Medical AI, Republic of Korea 15:00~15:20 -
Artificial intelligence-based coronary artery disease screening versus usual care for patients with suspected coronary artery disease: AI-Gatekeeper randomized controlled trial
SungA Bae Yonsei University, Republic of Korea 15:20~15:40 - Panel Discussion 15:40~16:10
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CVD risk prediction in low-risk population
Hokyou Lee Yonsei University, Republic of Korea 14:40~15:00 -
CVD risk prediction in older persons
Sangwoo Park University of Ulsan, Republic of Korea 15:00~15:20 -
CVD risk prediction in diabetes and high-risk patients
Eu Jeong Ku Seoul National University, Republic of Korea 15:20~15:40 - Panel Discussion 15:40~16:10
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Deep dive into PCSK9: the master regulator of LDL metabolism and inflammation
Hyun-Duk Jang Seoul National University, Republic of Korea 14:40~15:00 -
siRNA-based lipid therapies: a revolution in cholesterol management
Jin Wi Gachon University, Republic of Korea 15:00~15:20 -
Novel strategies for familial hypercholesterolemia management beyond statins
Rodrigo Alonso Center for Advanced Metabolic Medicine and Nutrition, Chile 15:20~15:40 - Panel Discussion 15:40~16:10
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Prediction of ASCVD using the TyG index: insights from the multinational PURE registry
Patricio Lopez-Jaramillo Universidad de Santander, Colombia 16:20~16:40 -
Prediction of ASCVD using the TyG index: evidence from Korean data
Yong-Jae Lee Yonsei University, Republic of Korea 16:40~17:00 -
Prediction of coronary artery calcification progression using the TyG index
Ki-Bum Won Chung-Ang University, Republic of Korea 17:00~17:20 - Panel Discussion 17:20~17:50
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Beyond statins: advances in FH management
Chan Joo Lee Yonsei University, Republic of Korea 16:20~16:40 -
Early detection of FH: role of genetic screening and cascade testing
Hayato Tada Kanazawa University, Japan 16:40~17:00 -
Cardiovascular risk in FH: how early is early enough for intervention?
Po-Sheng Chen National Cheng Kung University, Taiwan 17:00~17:20 - Panel Discussion 17:20~17:50
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LDL-C targets for patients with diabetes across major guidelines
Jong Han Choi Konkuk University, Republic of Korea 16:20~16:40 -
Pro: all patients with diabetes should be treated to LDL-C <55 mg/dL?
Wonjin Kim CHA University, Republic of Korea 16:40~17:00 -
Cons: LDL-C targets should be personalized in diabetic patients?
Mihye Seo Soonchunhyang University, Republic of Korea 17:00~17:20 - Panel Discussion 17:20~17:50
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Mechanisms linking socioeconomic status and cardiovascular risk
Sung Hee Choi Seoul National University, Republic of Korea 16:20~16:40 -
Epidemiologic evidence on socioeconomic status and cardiovascular outcomes
Jong-Ha Baek Gyeongsang National University, Republic of Korea 16:40~17:00 -
New models for CVD risk assessment: incorporating socioeconomic data
Sadiya S. Khan Northwestern University, USA 17:00~17:20 - Panel Discussion 17:20~17:50