Samsung Advanced Institute for Health Sciences and Technology (SAIHST) - Samsung Advanced Institute for Health Sciences and Technology (SAIHST)

  • Assistant Professor
  • JOO, YOONJUNG YOONIE

Research Interest

Genomic-driven Precision Medicine (GDPM), AI/ML approach in healthcare big data, Predictive analytics on Electronic health records(EHR), Polygenic Prediction, Sociogenomics, Psychiatric Genetics, Cognitive Genetics, Salutogenesis

Journal Articles

  • (2024)  Genetic drivers of heterogeneity in type 2 diabetes pathophysiology.  NATURE.  e, 
  • (2024)  Multimodal integration of neuroimaging and genetic data for the diagnosis of mood disorders based on computer vision models.  JOURNAL OF PSYCHIATRIC RESEARCH. 
  • (2023)  Gene-Environment Pathways to Cognitive Intelligence and Psychotic-Like Experiences in Children.  ELIFE.  12,  RP88117
  • (2023)  Overestimated prediction using polygenic prediction derived from summary statistics.  BMC GENOMIC DATA.  24,  1