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Meetings
(2021-07-01)
Quantitative Biology 2021: Aging and Rejuvenation (July 15-16, 2021, Beijing)
Contact
Jing-Dong Jackie Han's Lab, Center for Quantitative Biology, Peking University. Beijing, 100871, P.R. China.
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Kindly forward your application to ymeizhao@pku.edu.cn
Welcome to the Han Lab!
Our research is focused on three areas: 1) Computational and systems biology of development and aging. 2) Artificial intelligence (AI) for aging measurement and anti-aging intervention target discovery. 3) Development of computational algorithms for data integration and network analysis. 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
- Yuanfang Huang^, Shouxuan Zhu^, Shuai Yao^, Haotian Zhai^, Chenyang Liu^, Jing-Dong J. Han*. Unraveling aging from transcriptomics. Trends in Genetics, Oct 2024.
- Ya Ren^, Mingxu Chen^, Ziyang Wang^, Jing-Dong J. Han*. Oral microbiota in aging and diseases. Life Medicine, Aug 2024.
- 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, Jul 2024.
- 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.
- Wanyu Tao, Zhengqing Yu, Jing-Dong J. Han*. Single-cell senescence identification reveals senescence heterogeneity, trajectory, and modulators. Cell Metabolism, Apr 2024.