长聘教轨副教授。自2018年获得清华大学博士学位后，进入美国斯坦福大学从事医学人工智能方向博士后研究。2021年12月入职上海交通大学生物医学工程学院。本人一直致力于开发临床级别的人工智能辅助诊断、治疗评估、预测预后的算法和系统。将传统的数据挖掘技术和深度学习融合，着力实现大数据数理科学、多模态信息处理技术、临床疾病智能诊断的三方闭环互通。关于心血管疾病、恶性肿瘤、脑疾病、COVID-19等相关研究结论已为对应疾病治疗的临床指南修订提供了重要参考，所开发的系统已全部开源、累计被下载6万余次，目前已发表包括Nature communication, Nature Computational Science, Nature Medicine、Science translational medicine等学术期刊论文及国际会议论文30余篇。部分研究成果已被新华网、人民日报、路透社、纽约时报等国内、外知名媒体追踪报道。

2018-2021 斯坦福大学 博士后
2021-至今 上海交通大学 医疗机器人研究院

基于大规模多元异构数据的临床级可解释的疾病诊断、预后评估AI系统的开发。

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2.Cheng Jin, Heng Yu, Jia Ke, Peirong Ding, Yongju Yi, Xiaofeng Jiang, Xin Duan, Jinghua Tang,Daniel T. Chang, Xiaojian Wu, Feng Gao, Ruijiang Li. Predicting treatment response fromlongitudinal images using multi-task deep learning. Nature communication, 12(1), 1-11 2021.
3.Cheng Jin, Yongjie Duan, Yukun Cao, Jinyang Yu, Zhanwei Xu, Weixiang Chen, Xiaoyu Han, Jia Liu, Jie Zhou, Heshui Shi, Jianjiang Feng. Voxel-Voxel Forecast for Lesion development in patients with COVID-19. Nature Computational Science. Doi:https://doi.org/10.1101/2020.12.17.20248377. medRxiv: https://www.medrxiv.org/content/10.1101/2020.12.17.20248377v2. Demo in YouTube: https://www.youtube.com/watch?v=wtXjiBV87k4&feature=youtu.be. .
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5.Jiang, Yuming, Cheng Jin#, Heng Yu, Jia Wu, Chuanli Chen, Qingyu Yuan, Weicai Huang et al.
Development and validation of a deep learning CT signature to predict survival and chemotherapy benefit in gastric cancer: a multicenter, retrospective study. Annals of surgery 274, no. 6 (2021): e1153-e1161.