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2022 KHBM Fall Symposium • ProgramNov. 18 (Fri.)13:00 – 13:10 Opening
Symposium I : Unmet needs for patients with brain disease in clinical practice13:10 - 13:35 Unmet needs and solutions in nuclear medicine13:35 - 14:00 Clinical needs of structural neuroimaging in neurologic diseases 14:00 - 14:25 Imaging biomarkers and strategies for AD management 14:25 - 14:50 Individualized, brain connectome-based modeling of treatment regimen in psychiatric disorders
Plenary Talk11:00 – 12:00 Neuroimaging Biomarkers in psychiatric disorders in the era of digital revolution – Junsoo Kwon (Seoul National University)
Symposium II : Overcoming brain diseases by using AI15:20 - 15:45 AI application in neurological disease15:45 - 16:10 QEEG-centered Machine Learning Algorithm for detecting Brain Amyloid Pathology in Pre-dementia Alzheimer’s Disease 16:10 - 16:35 Artificial intelligence in stroke imaging 16:35 - 17:00 Neuroimaging and healthy aging: The role of neuroimaging technology 17:00 - 17:25 Effect of RCFT images of SNSB test: classification of mild cognitive impairment based on deep learning 17:25 - 17:50 VUNO brain atrophy quantification AI solution (DeepBrain) & clinical application case Nov. 19 (Sat.) 09:00 – 09:10 Opening
Symposium III : Hospital based genotype-phenotype cohorts09:10 - 09:40 Korea-Registries to Overcome and Accelerate Dementia research project (K-ROAD)09:40 - 10:10 Korean Brain Aging Study for the Early diagnosis and prediction of Alzheimer's disease (KBASE)
Plenary session10:30 - 11:30 Plenary talk 1: Recent and Very Exciting Advances in Diagnosis and Treatment of Alzheimer’s Disease: Perspective from the Alzheimer’s Disease Neuroimaging Initiative (ADNI)11:30 - 12:30 Plenary talk 2: Biomarkers of Neurodegenerative Diseases: where we were, where we are and where we want to be
Symposium IV : Cutting-edge brain imaging technology15:50 - 16:20 Prospects for clinical & neuroscience applications with 7T MRI16:20 - 16:50 An Alzheimer's disease progression model based on amyloid-tau interaction 16:50 - 17:20 The Prospect of molecular imaging: a Window into the Human Brain |