We are a group working in medical artificial intelligence, exploring the new technologies and applications of artificial intelligence in healthcare. The following themes outline our current research interest.

Medical image analysis:

Medical image reconstruction, registration, and segmentation, lesion detection and quantification, image enhancement, label-and data-efficient learning in medical imaging;

Medical natural language processing:

Medical information extraction, medical-term standardization, knowledge graph, medical dialogue, and large language models;

Bioinformatics:

drug-drug interaction prediction, single-cell proteomics, and protein design;

In the end, we are trying to integrate all modalities ( including medical images, patient demographics, clinical notes, and genes ) to develop a large multi-modal model and explore its new applications in healthcare.