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