Research Areas
Bridging clinical medicine, bioinformatics, and AI
AI Biomarker Discovery
AI 바이오마커 발굴
Machine learning approaches for identifying and validating novel biomarkers in precision medicine.
Microbiome AI
마이크로바이옴 AI
Multi-omics integration and AI modeling for microbiome-based disease prediction and drug response.
Precision Medicine
정밀의료
Patient stratification and personalized treatment strategies using genomic and clinical data.
Digital Biomarkers
디지털 바이오마커
Voice, wearable, and imaging-based digital biomarker development for remote health monitoring.
Clinical AI
임상 AI
AI model development for clinical decision support, diagnosis, and treatment prediction.
Statistical Genomics
통계 유전체학
Bayesian and causal inference methods for genome-wide association and multi-omics analysis.
Drug Response Prediction
약물반응 예측
Multimodal AI for predicting individual drug responses using microbiome and genomic profiles.
Bioinformatics Pipeline
바이오인포매틱스
16S, Shotgun metagenomics, RNAseq, and multi-omics data processing and analysis pipelines.