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X-WR-CALNAME:From Cohorts to Clinical Insights: Multimodal AI research a
 t Korea’s National Institute of Health
X-WR-CALDESC:The Milner Therapeutics Institute
X-WR-TIMEZONE:Europe/London
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DTSTART:20251026T010000
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BEGIN:VEVENT
SUMMARY:From Cohorts to Clinical Insights: Multimodal AI research at Kor
 ea’s National Institute of Health
DESCRIPTION:&#x1f5d3\;&#xfe0f\; 11 March  &#x23f0\; 11:00am\n&#x1f4cd\
 ; Lecture Theatre\, Jeffrey Cheah Biomedical Centre\nAll are welcome - n
 o need to register\, just turn up!\n\nSpeaker: Dr. Hye-Yeong Jo\, Korea 
 National Institute of Health (KNIH)\n\nTalk Overview\n\n 	Current status
  of the national bio-big-data infrastructure established by KNIH and key
  findings from the COVID-19 multi-omics project\n 	Major research outcom
 es generated from the program\n 	Plans to develop a COVID-19–focused f
 oundation model using 900 single-cell datasets from the multi-omics proj
 ect\n\n\nAbstract\n\nThe Korea National Institute of Health (KNIH)\, und
 er the Korea Disease Control and Prevention Agency (KDCA)\, conducts nat
 ional-level biomedical research with a focus on disease prevention and p
 opulation health. This seminar introduces KNIH's recent AI research init
 iatives and highlights key outcomes across multiple domains.\n\nKNIH has
  applied AI and machine learning to a range of healthcare data types\, i
 ncluding neuroimaging (PET and MRI)\, wearable-derived lifelog signals\,
  and unstructured clinical text. These efforts span early diagnosis of n
 eurodegenerative diseases\, digital phenotyping for chronic condition mo
 nitoring\, and the development of LLM-based tools to support genomic int
 erpretation and clinical data structuring.\n\nThe seminar concludes with
  a discussion of KNIH's COVID-19 multi-omics program. Since 2020\, KNIH 
 has built a longitudinal multi-omics dataset—including WGS\, scRNA-seq
 \, TCR/BCR-seq\, and cytokine profiling—from 720 COVID-19 patients\, t
 he vaccinated and healthy controls. These data have been used to develop
  AI-based severity prediction models and are publicly available through 
 the National Biobank of Korea. Building on this infrastructure\, KNIH is
  currently developing AI-based foundation models to support preparedness
  and rapid response to future emerging infectious diseases.\n\nThese ini
 tiatives reflect KNIH's broader efforts to integrate AI into public heal
 th research and offer perspectives relevant to national-scale health dat
 a science.
URL;VALUE=URI:https://www.milner.cam.ac.uk/events/from-cohorts-to-clinic
 al-insights-multimodal-ai-research-at-koreas-national-institute-of-healt
 h/
UID:urn:uuid:231d1edf-e79d-42e5-ac6d-1e8745887965
STATUS:CONFIRMED
ORGANIZER:
DTSTAMP:20260604T110019Z
DTSTART;TZID=Europe/London:20260311T110000
DTEND;TZID=Europe/London:20260311T120000
LOCATION:Puddicombe Way
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