Early prediction and diagnosis of Alzheimer’s disease based on Gwangju Alzheimer’s and Related Dementia (GARD) cohort
K. H. Lee (Convener)
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AbstractParticipants: Kun Ho Lee, Jae Gwan Kim, Jungsoo Gim, Sunjae Lee ISSUE Alzheimer’s Disease (AD) is one of the well-known chronic diseases among older adults. A type of AD that onset over 65 years of age is currently uncurable. As the aging of the population proceeds, the number of people with AD diagnoses and the socio-economic burden on AD both increase. To discover the scientific mechanism underlying AD, we have established the cohort dedicated to AD research named Gwangju Alzheimer’s and Related Dementia (GARD) cohort. We collect magnetic resonance imaging (MRI), positron emission tomography (PET), fluid biomarker data, and cognitive test results of local elderly participants. Since 2014, we have gathered over 15,136 population data that could yield valuable results on Alzheimer’s Disease in older adults. CONTENT The current symposium introduces Alzheimer's bioinformatics research based on our elder population cohort data. Each research focused on 1) AI-based scoring on Visuospatial task, 2) Near-infrared spectroscopy, 3) Genome-wide association study, and 4) Personal microbiome to generate population statistics, which results converge into a single goal, the prediction of AD.Keywords: alzheimer’s disease, AI, population cohort, near-infrared spectroscopy, genome-wide association study, microbiome
K. H. Lee (Convener) (2022). Early prediction and diagnosis of Alzheimer’s disease based on Gwangju Alzheimer’s and Related Dementia (GARD) cohort. Gerontechnology, 21(s),1-1
https://doi.org/10.4017/gt.2022.21.s.821.sp3