Research

Core research directions in precision oncology and medical imaging AI.

Research Areas

AI for Radiotherapy

We develop AI methods for radiotherapy response prediction, dose planning, treatment outcome modeling, and imaging biomarker discovery for precision radiation oncology.

Tumor Microenvironment AI

We study tumor ecosystems using multimodal data, including pathology, imaging, and spatial biology, to better understand cancer progression and treatment response.

Multimodal Oncology AI

We integrate MRI, pathology, clinical variables, and omics information to improve diagnosis, prognosis prediction, and personalized oncology research.

Clinical AI & Decision Support

We design clinically applicable AI systems for diagnosis, risk stratification, treatment planning, and decision support in real-world oncology workflows.

Collaboration

We welcome collaborations with clinicians, hospitals, researchers, and industry partners in oncology AI, medical imaging, multimodal learning, and translational medical research.

Potential Collaboration Topics

• Medical imaging analysis for cancer diagnosis

• AI models for treatment response prediction

• Multimodal learning with imaging, pathology, and clinical data

• Clinical decision support systems for oncology practice