MedAI Lab at Korea University College of Medicine (PI: Minji Jeon, PhD) conducts medical science research via Artificial Intelligence (AI) using biomedical big data. The aims of our research are to develop machine learning / deep learning models that can contribute to better understanding about diseases and developing therapeutics for patients utilizing genomics or transcriptomics data. If you are interested in joining MedAI lab, please see Section Join us for more information.

Research Interest

• • AI-driven Drug discovery: Pain target identification (Biochemistry (2021)); Drug combination synergy prediction (Nature Communications (2019), BMC Systems Biology (2018)); Transcriptional response-based drug discovery (Bioinformatics (2019), PLoS Computational Biology (2021)); Drug-induced liver injury prediction (BigComp (2020)). 

  • Biomedical Data Analysis: Jupyter Notebooks transformation into data-driven web-based applications (Patterns (2021)); Gene set enrichment analysis (Current Protocols (2021)); Co-expression-based gene function prediction (bioRxiv (2021)).

  • Network biomarker discovery: Context-specific subnetwork discovery (BMC Systems Biology (2018), PLoS One (2015)); Biomedical entity-relationship integration, visualization, and exploration (Bioinformatics (2013)).

  • Biomedical text mining: Knowledge discovery from biomedical literature (EMNLP(2021), Bioinformatics (2016), PLoS One (2016)); Biomedical text comprehension (JMIR medical informatics (2018)).