HanLab

Welcome to the Han Lab!

Our research is focused on three areas: 1) Integration of genomic and functional genomics data to formulate biological hypotheses for human disease-related processes. 2) Understanding complex human diseases through structure, dynamics and function of disease-related networks. 3) Genetic robustness or fail-safe mechanisms engineered to genetic networks. Using data-mining, statistics approaches and network theories, we first try to generate biological hypotheses and computational models, and then use molecular biology, cell biology and systems biology approaches to validate and refine models and hypotheses.

New Publications

1. Zhengqing Yu^, Yong Zhou^, Kehang Mao^, Bo Pang^, Kai Wang, Tang Jin, Haonan Zheng, Haotian Zhai, Yiyang Wang, Xiaohan Xu, Hongxiao Liu, Yi Wang, Jing-Dong J. Han*. Thermal facial image analyses reveal quantitative hallmarks of aging and metabolic diseases. Cell Metabolism, July 2024.
2. Yiyang Wang^, Yunyan Ye^, Shengyi Shi^, Kehang Mao, Haonan Zheng, Xuguang Chen, Hanting Yan, Yiming Lu, Yong Zhou, Weimin Ye, Jing Ye* and Jing-Dong J. Han*. Prediagnosis recognition of acute ischemic stroke by artificial intelligence from facial images. Aging Cell, Apr 2024.
3. Wanyu Tao, Zhengqing Yu, Jing-Dong J. Han*. Single-cell senescence identification reveals senescence heterogeneity, trajectory, and modulators. Cell Metabolism, Apr 2024.
4. Xinyu Yang, Runhan Li, Xindi Yang, Yong Zhou, Yi Liu, Jing-Dong J. Han*. Coordinate-wise monotonic transformations enable privacy-preserving age estimation with 3D face point cloud. Science China, Apr 2024.
5. Dawei Meng,Shiqiang Zhang, Yuanfang Huang, Kehang Mao, Jing-Dong J. Han*. Application of AI in biological age prediction. Current Opinion in Structural Biology, Feb 2024.