A. CLINICAL / NEUROPSYCHOLOGICAL
■ Development of a machine learning algorithm for screening dementia using comprehensive neuropsychological test battery data:
Principal investigator, completed from 2013 to 2017, 
supported by Seoul National University Bundang Hospital 
(https://www.ncbi.nlm.nih.gov/pubmed/30285646)

■ Development of a mobile neuropsychological battery for diagnosing and staging dementia:
Principal investigator, ongoing since 2017, 
supported by the AIMMED co.

■  Development and validation of a machine learning algorithm for early diagnosis of Alzheimer’s disease (CyberDx):
Co-investigator, ongoing since 2018, 
supported by the Electronics and Telecommunications Research Institute (ETRI)

■  Development of a machine learning algorithm for determining the Clinical Dementia Rating (A-CDR):
Co-investigator, ongoing since 2020, 
supported by Daejeon Metropolitan city Government

■  Instruments:
Development: Severe Cognitive Impairment Rating Scale (SCIRS), Seoul Informant Report Questionnaire for Dementia (SIRQD), Subjective Memory Complaints Questionnaire (SMCQ), Short form MMSE (SF-MMSE), CERAD Neuropsychological Battery Total Score (CERAD-TS)
‌Standardization: Korean version of the Consortium to Establish a Registry for Alzheimer’s Disease Assessment Packet (CERAD-K), Korean version of Alzheimer's Disease Assessment Scale-Cognitive Subscale (ADAS-K-cog), Korean version of Frontal Assessment Battery (FAB-K), Korean version of the revised Hasegawa Dementia Scale (HDS-K), Korean version of Mini Mental Status Examination (MMSE-KC, MMSE-DS), Korean version of the Short Blessed Test (SBT-K), Korean version of the Severe Mini Mental Status Examination (SMMSE-K), Korean version of the Telephone Interview for Cognitive Status (TICS-K) and modified TICS (TICSm), Korean version of the Geriatric Depression Scale (GDS-K)
Normative data: Korean version of the Consortium to Establish a Registry for Alzheimer’s Disease Assessment Packet (CERAD-K), CERAD Neuropsychological Battery Total Score (CERAD-TS), Digit Span Test, Lexical Verbal Fluency Test, Categorical Verbal Fluency Test (CFT), Korean version of the Frontal Assessment Battery (FAB-K), Stroop Test, Korean version of the Revised Hasegawa Dementia Scale (HDS-K), Trail Making Test (TMT), Wisconsin Card Sorting Test (WCST-64), Korean version of Mini Mental Status Examination (MMSE-KC, MMSE-DS), Executive Clock Drawing Test (CLOX), Benton Visual Retention Test (BVRT), Disability Assessment for Dementia (DAD)

B. NEUROIMAGING
■  The Korean Longitudinal Study on Cognitive Aging and Dementia – Neuroimaging Substudy (KLOSCAD-NI):
Principal investigator, ongoing since 2014, 
supported by the Korean Health Technology R&D Project, Ministry of Health and Welfare 
and Institute for Information & communications Technology Promotion (IITP) grant funded by the Korea government (MSIT)

■  Development and validation of a deep learning algorithm for assisting the diagnosis of Alzheimer's disease using brain magnetic resonance images (K-DASH)‌[link‌]:
Principal investigator, ongoing since 2018, 
supported by Institute for Information & communications Technology Promotion (IITP) grant funded by the Korea government (MSIT)

■  Development of brain MRI texture as an early diagnostic marker of Alzheimer’s disease:
Principal investigator, ongoing since 2014, 
supported by Institute for Information & communications Technology Promotion (IITP) grant funded by the Korea government (MSIT)
(https://www.ncbi.nlm.nih.gov/pubmed/31228173)

■  Development of an algorithm for automatically segmenting white matter hyperintensities from brain MRI:
Principal investigator, completed from 2009 to 2011, 
supported by the Independent Research Grant (IRG) from Eisai Global Pharmaceuticals 
(https://www.ncbi.nlm.nih.gov/pubmed/24493377)

D. GAIT
■  Korean Frailty and Aging Cohort Study (KFACS)[link]:
Co-investigator, ongoing since 2015, 
supported by the Korea Health Technology R&D Project through the Korean Health Industry Development Institute (KHIDI), Ministry of Health and Welfare (https://www.kci.go.kr/kciportal/ci/sereArticleSearch/ciSereArtiOrteView.kci?sereArticleSearchBean.artiId=ART002152213)

■  Development of gait database applied with the Walk-in-place Interactive System:
Principal investigator, ongoing since 2019, 
supported by Korea Institute of Science and Technology

■  Development of gait analysis algorithm using the accelerometry in Korean elderly:
Principal investigator, completed from 2011 to 2012, 
supported by Seoul National University Bundang Hospital 
(https://www.ncbi.nlm.nih.gov/pubmed/27427965)

E. VOICE
■  Development of a gender-specific diagnostic algorithm for geriatric depression using acoustic features of voice:
Principal investigator, completed from 2015 to 2019,
supported by the Seoul National University Bundang Hospital

■  Development of a diagnostic algorithm for geriatric depression using acoustic features of voice:
Principal investigator, completed from 2014 to 2019,
supported by the Brain Fusion Program, Seoul National University

F. SEROLOGIC / GENETIC
■  Development of a gene-chip for diagnosing Alzheimer’s disease:
Collaborator, the Korean Brain Aging Study for the Elderly (KBASE) and the National Research Center for Dementia,
supported by the National Research Foundation of Korea, Ministry of Science and ICT.