AI Disease Markers Lab
AI Disease Markers Lab
KAIST · Bio and Brain Engineering
Professor
Prof. 이관수
Professor's page · publicationsAbout
이관수 교수의 시너지 바이오정보학 연구실(Synergistic Bioinformatics Laboratory)은 KAIST 바이오및뇌공학과 소속으로, 생물정보학과 인공지능, 빅데이터 분석을 통합해 생명과학·의생명 연구의 다양한 문제를 다룬다. 유전체·전사체·단백체 등 다차원 오믹스 데이터를 분석하여 질병 진단·예후·치료반응 예측을 연구하며, AI 기반 질병 마커 및 신약 개발에 중점을 둔다.
Research keywords
Selected publications
- GPCRact: a hierarchical framework for predicting ligand-induced GPCR activity via allosteric communication modelingBriefings in Bioinformatics · 2026
- Robust prognostic biomarkers and a risk prediction model specific to EGFR-mutated lung adenocarcinoma patients via multicohort meta-analysisHeliyon · 2025
- BASE: a web service for providing compound-protein binding affinity prediction datasets with reduced similarity biasBMC Bioinformatics · 2024
- Development of Gene Expression-Based Random Forest Model for Predicting Neoadjuvant Chemotherapy Response in Triple-Negative Breast CancerCancers · 2022
Other labs in this department
- AI-Brain Mechanism LabRecruiting
Yul HR Kang
AI and brain mechanism comparison, decision-making under uncertainty, vision-based autonomous driving, computational cognitive neuroscience
- Brain Technology LabRecruiting
Young-Gyun Park
Brain research technology development, brain mapping, novel brain networks, convergent imaging, ultrasound vocalization, memory, Parkinson's disease
- Ultrasound Engineering LabRecruiting
Eunyeong Park
Ultrasound engineering, ultrasound imaging/therapeutic systems, photoacoustic imaging
- Therapeutic Bioengineering LabRecruiting
Ji Ho Park
Biomaterials, drug delivery, nanomedicine, therapeutic bioengineering
- Nanomedicine LabRecruiting
Min-Jun Baek
Nano drug delivery systems, pharmaceutics, phototheranostics
- Molecular Diagnostics LabRecruiting
Sungmin Son
Molecular diagnostics, Cas13 gene scissors, super-resolution imaging, intercellular communication, bio-MEMS