AI-Med Lab. @ GIST

We are interested in developing and applying advanced artificial intelligence approaches to biomedical and health data. Especially, we are currently focused on:

• Medical imaging analysis:  The goal of the study is to develop novel artificial intelligence methods (e.g., 3D-CNN, Transformer) based on neuroimages (i.e., MRI, PET, CT) for multiple tasks, diagnosis, prognosis, prediction, segmentation, and identifying biomarkers. 

• Imaging genetics association: The goal of this project is to develop novel bio-medical informatics methods for integrative analysis of imaging, genetics, and transcriptomic data to identify the association between imaging and genetics in the brain. 

• Informatics algorithm for EHR: One of our interests is predicting the risk of cardiovascular disease and optimal treatment strategies using learning algorithms based on electronic health records.    

• Wearable devices: The goal of the project is to develop a platform and algorithm for evaluating the health conditions of cancer patients undergoing chemotherapy using the wearable device. 

On-going projects

• (2026~2031) 광주과학기술원, ValueUp-10X, "AI-광학기반 첨단 반도체 패키징 글로벌 공동연구 플랫폼: 혈관신생 최적경로 모사기반 3차원 유리 재배선층(RDL) 공정"

• (2025~2030) 과학기술정보통신부, InnoCORE, "뇌질환 조기진단을 위한 AI+나노융합 연구단"

• (2025~2028) 한국연구재단, 우수신진연구, "영상-유전체 통합 모델 기반 H&E WSI에서의 공간적 유전자 발현 예측" 

• (2024~2028) 산업통상자원부, 기반구축사업, "디지털전환 기반 바이오헬스 소재,기기 유효성 및 안전성 검증을 위한 지능형 플랫폼 기반구축"

• (2019~2029) 과학기술정보통신부, 인공지능대학원지원사업