S1 Diabetic complications 1 : Transforming landscape of diabetic kidney disease On-Air Channel A |
09:10~11:10 / Friday 18 September Chairman:In Joo Kim, Kang Seo Park |
Overview |
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This session entitled ‘Transforming landscape of diabetic kidney disease’ is prepared to provide recent evidence for clinicians and researchers having interest in diabetic kidney disease. Experts in this field will cover various but balanced aspects of kidney diseases in the context of newer anti-diabetes drugs including SGLT2 inhibitors. State of the art multiomics approach will also be covered. | ||
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1-1SGLT2 Inhibitors and kidney protection beyond diabetes | |
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1-2Diabetic medications and albuminuria | |
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1-3Anti-diabetes drugs and GFR | |
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1-4Multiomics approach in DKD research |
S7 Diabetic complications 2 : Diabetic brain and extremities On-Air Channel A |
16:20~18:20 / Friday 18 September Chairman:Hyun Shik Son, Yeon-Ah Sung |
Overview |
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Diabetes markedly increases the risk of cerebral and peripheral atherosclerosis. In addition to that, until a cure for diabetes is found, hypoglycemia will continue to be a major barrier to the achievement of long-term glucose control and will cause recurrent morbidity in individuals with diabetes. This session ‘Diabetic Brain and Extremities’ could help prepare to implement appropriate medical and interventional treatments to reduce the disability and death of diabetic patients. | ||
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7-1Blood glucose, antidiabetic drugs, and stroke risk | |
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7-2Hypoglycemia and brain | |
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7-3Screening and diagnosis of diabetic peripheral arterial disease | |
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7-4Updated current treatment of DM PAD |
S12 Epidemiology & genetics : Precision medicine based on Korean registry/cohort On-Air Channel B |
09:00~11:00 / Saturday 19 September Chairman:Jeong Taek Woo, Chang Beom Lee |
Overview |
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Current epidemiology research for diabetes has not only presented simple statistics, but has been developed to be used as an evidence for personalized diabetes care in connection with basic, translational research in various fields such as artificial intelligence and multi-omics. In this session, we will introduce the results of cutting-edge research on personalized diabetes treatment conducted based on major diabetes epidemiology data for Koreans. | ||
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12-1Prediction of diabetes complications based on metabolomics: KNDP omics study | |
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12-2Deep learning prediction for CVD and DM | |
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12-3Genomics-based prediction of diabetes and diabetes complications | |
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12-4 The effectiveness of new diabetes drugs, SGLT2 inhibitors: real world evidence |