STAB
Spatio-Temporal cell Atlas of the human Brain
实验室简介
Biomed AI Lab focuses on the cross research of artificial intelligence and biomedicine. The team members come from different disciplines such as computer, mathematics, biology and physics. Based on multimodal biomedical big data, the laboratory develops and applies artificial intelligence algorithm theory and technology for health risk prediction, intelligent diagnosis, treatment and intervention, prognosis evaluation, etc. In recent years, focusing on the characteristics of biomedical big data, a series of artificial intelligence algorithms have been developed, which have been successfully applied to brain-gut axis, brain development, brain diseases and other scenes. Relevant work has been published in Nature, Science, Cell, Cell Metabolism, IEEE TPAMI, Molecular Psychology, Nature Communications and other journals. And has won the first prize of Wu Wenjun Artificial Intelligence Natural Science Award and the second prize of Natural Science of the Ministry of Education. The group has undertaken National Key Research and Development Plan Projects, key and general projects of National Natural Science Foundation of China, and sub projects of Major Science and Technology Projects in Shanghai,etc.
Biomedical artificial intelligence laboratory is a united and progressive scientific research team. Interested candidates can send their resumes to Professor Xing-Ming Zhao. Look forward to your joining!
研究方向
Based on the genomics, transcriptomics and metabolomics data produced by the lab and the public data platforms as well as the long- and short-read sequencing data, we aim to develop algorithms to identify the genetic risk genes and variants of brain diseases in Chinese population, explore the new pathogenesis of brain diseases based on multi-omics data, develop algorithm for molecular diagnosis, and study new diagnosis and treatment methods using big data.
Based on brain fMRI data, genomics data, electronic medical records, behavior data, environmental factors and other data types produced by the lab and global public databases, we will develop integrative methods based on imaging, molecule and behavior data using machine learning and deep learning models, identify the risk factors of brain diseases, and aim to provide intelligent diagnosis for brain diseases.
Based on the microbiome data, metabolomics data and MRI data produced by the lab and public data platforms, we carry out studies on the data analysis and algorithm development of metagenomics data by integrating long- and short-read sequencing data, microbial species identification and gene function analysis, virus-bacteria interaction prediction, association analysis between microbiome data and imaging, behavior and genomics data.
董彦祺 -- 博士生国家奖学金 段伊倩 -- 博士生国家奖学金 甘梓泉 -- 硕士生国家奖学金 杨安怡 -- 复旦大学华泰证券科技奖学金
2024年10月19日,经上海市生物信息学会奖励委员会评审,赵兴明教授获“2024年上海市生物信息学会杰出贡献奖”,以表彰其对上海市生物信息学会和生物信息领域所做的突出贡献!
竞赛类: 蔡志高、赵兴忠-2024年复旦大学“卓越杯”创新创业大赛三等奖:项目《胎儿颅脑AI辅助诊断系统》 论文获奖: 安政宇、段伊倩、刘金鑫、罗小辉-上海市生物信息学会优秀墙报奖-2024年
2024年8月31日,复旦大学类脑智能科学与技术研究院生物医学人工智能团队青年研究员路易斯·佩德罗·科埃略(Luis Pedro Coelho)、特聘教授赵兴明团队,与皮尔·伯克(Peer Bork)团队合作研究,在Nature Communications上发表了题为《A catalog of small proteins from the global microbiome》的研究论文。
2024年8月,经过严格评审,赵兴明教授凭借其在生物信息学领域的卓越贡献和广泛影响力,当选为上海市生物信息学会新一届理事长
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