We are developing interpretable AI (XAI) to uncover disease mechanisms with multi-omics genomic data. Our team, a core member of ICGC-ARGO’s world-leading colorectal cancer multi-omics project, brings expertise and access to vast genomic datasets.

We are building and refining large, multi-modal models that integrate diverse data types (e.g., genomic, imaging, clinical) to create comprehensive representations of specific diseases, aiming for enhanced diagnostic, prognostic, and therapeutic insights.

We are leveraging the power of large language models (LLMs) to develop advanced systems for efficient and intelligent medical record retrieval and to provide AI-assisted consultation, improving the accessibility and usability of complex medical information.