Response prediction · Dose planning
Spatial biology · Immune landscape
MRI · Pathology · Clinical data
Decision support · Prognosis
Developing artificial intelligence to advance cancer diagnosis, treatment response, and clinical decision support.
Imaging biomarkers and treatment response modeling for precision radiation oncology.
Computational modeling of tumor ecosystems using pathology, imaging, and multimodal data.
Fusion of imaging, clinical, pathology, and omics data for cancer intelligence.
Clinical decision support systems for diagnosis, prognosis, and treatment planning.
Our laboratory focuses on developing advanced artificial intelligence technologies to improve cancer diagnosis, treatment planning, and clinical decision support.
By integrating multimodal medical data such as MRI, pathology, genomic information, and clinical records, we aim to enable more accurate and personalized oncology care.