余皓，教授、副研究员、医疗器械高级工程师，深圳市高层次专业人才。深圳市医疗器械行业协会副会长并特聘专家，华为AI高级工程师资格。

余皓分别于2001年、2004年、2013年获得浙江大学生物医学工程专业的本科、硕士和博士学位；2016-2019年在美国印第安纳大学、普渡大学客座研究员；现任中国科学院深圳先进技术研究院医工所影像中心PI。作为项目负责人主持过国家自然科学基金、广东省自然科学基金、深圳市科技创新委员会的创新项目和重点项目等十多项，课题总经费600多万元；作为主要成员参与过国家863课题和科技重大专项。共发表SCI检索论文40多篇，申请专利十多项。

余皓课题组主要研究内容包括：（1）单细胞转录组和空间转录组研究肿瘤微环境异质性；（2）基因组学人工智能技术研究与肿瘤诊疗相关的生物标志物及预后预测；（3）与临床和企业密切合作，形成伴随诊断类试剂和人工智能预测软件。

余皓课题组长期招聘人工智能方向或生物信息学方向的硕士、博士和博士后人才

081203-计算机应用技术
081002-信号与信息处理
071009-细胞生物学

生物信息学，人工智能，单细胞转录组

2008-09--2013-03   浙江大学   研究生/博士学位
2001-09--2004-06   浙江大学   研究生/硕士学位
1996-09--2001-06   浙江大学   本科/学士学位

1.   Liangliang Xu, Chang Zou, Shanshan Zhang, Timothy Shun Man Chu, Yan Zhang, Weiwei Chen, Caining Zhao, Li Yang, Zhiyuan Xu, Shaowei Dong, Hao Yu, Bo Li, Xinyuan Guan, Yuzhu Hou & Feng-Ming Kong. Reshaping the systemic tumor immune environment (STIE) and tumor immune microenvironment (TIME) to enhance immunotherapy efficacy in solid tumors. J Hematol Oncol 15, 87 (2022). 

2.   Zhiyuan Xu, Li Yang, Hao Yu*, Longhua Chen*. A machine learning model for grade 4 lymphopenia prediction during pelvic radiotherapy in patients with cervical cancer. Front Oncol. 2022 Sep 15;12:905222.

3.   Hao Yu, Fang Chen, Ka-On Lam, Li Yang, Yang Wang, Jian-Yue Jin, Aya EI Helali, Feng-Ming (Spring) Kong*. Potential Determinants for Radiation-Induced Lymphopenia in Patients With Breast Cancer Using Interpretable Machine Learning Approach. Frontiers in Immunology, 2022;13:1664-3224.

4.   Hao Yu, Tian Xu, Juan Chen, Wenjun Yin, Fang Ye. Association of PM2.5-related inflammatory and lung function change: a machine learning approach in time-series data. Environmental Science and Pollution Research, 2022;

5.   Zhiyuan Xu, Li Yang, Qin Liu, Hao Yu*, Longhua Chen*. Machine learning of dose-volume histogram parameters predicting overall survival in patients with cervical cancer treated with definitive radiotherapy. Journal of Oncology, 2022; 3:1-10

6. Hao Yu, Fang Chen, Li Yang, Jian-Yue Jin, Feng-Ming Spring Kong. Potential determinants of radiation-induced lymphocyte decrease and lymphopenia in breast cancer patients by machine learning approaches. Journal of Clinical Oncology. ASCO Annual Meeting, 2021.

7. Hao Yu, Li Yang, Ka-On Lam, Jian-Yue Jin, Chen Hu, Feng-Ming Spring Kong. Deep learning survival model on transcriptomes level in patients with non-small cell lung cancer. Journal of Clinical Oncology. ASCO Annual Meeting, 2021.

8. Hao Yu, Ka-On Lam, Michael D.Green, Huanmei Wu, Li Yang, Weili Wang, Jian-Yue Jin, Chen Hu, Yang Wang, Shruti Jolly, Feng-Ming (Spring) Kong. Significance of radiation esophagitis: Conditional survival assessment in patients with non-small cell lung cancer. Journal of the National Cancer Center. 2021, 1(2):31-38

9. Hao Yu, Ka-On Lam, Huanmei Wu, Michael D Green, Weili Wang, Jian-yue Jin, Chen Hu, Shruti Jolly, Yang Wang, and Feng-Ming (Spring) Kong. Weighted-Support Vector Machine Learning Classifier of Circulating Cytokine Biomarkers to Predict Radiation-Induced Lung Fibrosis in Non-Small-Cell Lung Cancer Patients. Frontiers in Oncology, 2021 Feb 1;10:601979.

10. Hao Yu, Wei Dai, ChiLeung Chiang, Shisuo Du, Zhaochong Zeng, Guoming Shi，Wei Zhang, Albert Chi-Yan Chan, Chen Hu, Feng-Ming (Spring) Kong. Deep Learning to Develop Transcriptomic Model for Survival Prediction in TCGA Patients with Hepatocellular Carcinoma. 2020ASCO Journal of Clinical Oncology. ASCO Annual Meeting, 2020.

11. Li T, Li X, Huang X, Yu H, Li S, Zhang Z, Xie Y, Song X, Liu J, Yang X, Liu G. Mitochondriomics reveals the underlying neuroprotective mechanism of TrkB receptor agonist R13 in the 5×FAD mice. Neuropharmacology. 2022 Feb 15;204:108899.

12. Yang Wang, Wei Ning, Shengyu Zhang, Hao Yu, Hongjie Cen, Sunan Wang, Architecture and key terminal technologies of 5G-based internet of vehicles, Computers & Electrical Engineering, Volume 95, 2021:107430

13. Fang Chen, Lingyu Ma, Qian Wang, Manling Zhou, Yaqing Nong, Haiman Jing, Ying Han, Yaya Liu, Yulin Hu, Hao Yu, Pingfu Fu, Feng-Ming (Spring) Kong. Chemotherapy is a risk factor of lymphopenia before adjuvant radiotherapy in breast cancer. Cancer Rep (Hoboken). 2021, e1525

14. Fang Chen, Hao Yu, Hong Zhang, Qaqing Nong, Qian Wang, Haiman Jing, Ying Han, Junjie Wu, Zheng Zhou, Li Yang, Zhiyuan Xu, Yaya Liu, Pingfu Fu, Jian-Yue Jin, Victor Hsue, Amy Chang, Feng-Ming (Spring) Kong. Risk factors for radiation induced lymphopenia in patients with breast cancer receiving adjuvant radiotherapy. Annals of Translational Medicine, 2021, 9(16): 1288-1302.

15. Fang Chen, Lingyu Ma, Fan Yi, Manling Zhou, Yaya Liu, Lin Shen, Jian Shi, Haiman Jing, Amy Chang, Ka On Lam and Hao Yu*, Neoadjuvant Chemotherapy in Breast Cancer: A Real-World Practice with Multidisciplinary Team in Southern China. Biomedical Journal of Scientific & Technical Research. 2021, May; 36(1):28243-28252.

16. Yang Wang, Jidong Chen, Wei Ning, Hao Yu, Shimei Lin, Zhidong Wang, Guanshi Pang, Chao Chen, A time-sensitive network scheduling algorithm based on improved ant colony optimization. Alexandria Engineering Journal. 2021; 60:107-114.

17. Fang Chen, Hao Yu, Caining Zhao, Fan Zhang, Yaqing Nong, Zhiyuan Xu, LI Yang, Wenqi Chen, Qian Wang, Yong Zhou, Ying Han, Haiman Jing, Feng-Ming (Spring) Kong. Depression in women breast cancer patients receiving radiation therapy: A pilot study. ASCO Annual Meeting, 2020.

18. Hao Yu, Huanmei Wu, Weili Wang, Shruti Jolly, Jianyue Jin, Chen Hu, and Feng-Ming (Spring) Kong. Machine Learning to Validate a Model for Radiation Pneumonitis Prediction in Patients with Non-Small-Cell Lung Cancer. Clinical Cancer Research. 2019; 25: 4343-4350.

19. XU Liang, LIN Zhongshi, SHEN Yuanyuan, YU Hao*. The effect of secondary Bjerknes force in sonoporation on cell by ultrasound-mediated microbubbles. Journal of Biomedical Engineering. 2018, Dec. 35:864- 869.

20. Zhaoke Pi, Yongpeng Huang, Yuanyuan Shen, Xiaojun Zeng, Yaxin Hu, Tie Chen, Chenyang Li, Hao Yu, Siping Chen, Xin Chen. Sonodynamic Therapy on Intracranial Glioblastoma Xenografts Using Sinoporphyrin Sodium Delivered by Ultrasound with Microbubbles. Annals of Biomedical Engineering. 2019 Feb;47(2):549-562

21. Qi Xiaoping, Huang Yunye, Lin Zhongshi, Xu Liang, Yu Hao*. Dual-Quantum-Dots- Labeled Lateral Flow Strip Rapidly Quantifies Procalcitonin and C-reactive Protein. Nanoscale Res Lett. 2016;11(1):167-174

22. Hao Yu, Zhongshi Lin, Liang Xu, Dalong Liu, Yuanyuan Shen. Theoretical study of microbubble dynamics in sonoporation. Ultrasonics. 2015;61:136-144

23. YU Hao, XU liang, QI Xiao-ping. Quantum Dots Labeled Lateral Flow Strip for Determination of Procalcitonin in Blood. Chinese Journal of Analytical Chemistry. 2014;42(11): 1592-1597.

24. Shen Y, Zhang A, Guo J, Dan G, Chen S, Yu H*. Fluorescence imaging of Evans blue extravasation into mouse brain induced by low frequency ultrasound with microbubble. Biomed Mater Eng (Bio-Medical Materials and Engineering). 2014;24(6):2831-2838.

25. Hao Yu, Liang Xu. Cell Experimental Studies on Sonoporation: State of the Art and Remaining Problems. J Control Release; 2014;174:151-160.

26. Hao Yu, Siping Chen. A model to calculate microstreaming-shear stress generated by oscillating microbubbles on the cell membrane in sonoporation. Biomed Mater Eng. 2014;24(1):861-868.

27. Hao Yu, Liang Xu, Siping Chen. A transfer efficiency model for ultrasound mediated drug/gene transferring into cells. Ultrasonics Sonochemistry. 2014 Jan;21(1):113-120.

28. Hao Yu, Siping Chen, Ping Cao, Synergistic bactericidal effects and mechanisms of low intensity ultrasound and antibiotics against bacteria: a review. Ultrasonics Sonochemistry, 19(2012)377-382. 

29. Hao Yu, Quan Su, Jiandong Tang. Development of analyzer for non-invasive detection of helicobacter pylori with CO2 collecting card. 2011 Proceeding of the IEEE-EMBS International Conference on Biomedical and Health Informatics, pp.526-529. 

30. Hao Yu, Siping Chen, Analysis of sonoporation on cell membrane by scanning electron microscopy.  Biomedical Engineering and Biotechnology (iCBEB), 2012 International Conference on. 28-30 May 2012: 968-971.

31. Hao Yu，Liang Xu，Ping Wang.  Solid phase microextraction for analysis of alkanes and aromatic hydrocarbons in human breath. Journal of Chromatography B, 2015; 82669-74

32. Hao Yu, Liang Xu, Mingfu Cao, Xing Chen, Ping Wang. Detection volatile organic compounds in breath as markers of lung cancer. Sensors, 2003. Proceedings of IEEE. 2003,2:1333-1337

33. Hao Yu, Ping Wang. SPME-GC analysis of alkanes and aromatic hydrocarbons in human breath to screen lung cancer. 2008 IFMBE Proceedings, 19(2008)396–398 

 

作为项目负责人主持国家、省市级科研项目多项：

（1）2015-2017声孔效应中超声介导微泡在细胞边界的动力学模型研究。国家自然科学基金，项目负责人

（2）2015-2018超声介导微泡产生高频压-剪切力下的细胞损伤力学特性研究。广东省自然科学基金，项目负责人

（3）2002-2006  船载海水重金属元素的现场同时自动分析技术。国家863计划项目，主要参与人

（4）2009-2014基于编码超声的振动声成像方法及应用研究。国家自然科学基金重点项目，主要参与人

（5）2002-2004  基于呼吸检测的肺癌诊断电子鼻的研究。浙江省科技计划项目，主要参与人

（6）2021-2023 放疗联合免疫治疗非小细胞肺癌预后的生物标志物筛选研究。深圳市重点研究项目，项目负责人

（7）2016-2018 声孔效应促进凋亡素诱导肿瘤细胞凋亡的技术研究。深圳市基础研究计划，项目负责人

（8）2013-2015 量子点标记免疫层析法快速定量检测降钙素原。深圳市科技计划项目，项目负责人

（9）2009-2010 一体化幽门螺杆菌呼气诊断仪的设计与研制。深圳市科技计划项目，项目负责人

（10）2014-2016 超声介导微泡对细胞作用的力学模型研究。深圳大学医学超声关键技术国家地方联合工程实验室，项目负责人

（11）2010-2011 HP检测设备的设计与研制。深圳市中核海得威有限公司，项目负责人

（12）2008-2009幽门螺杆菌呼气诊断仪的设计与研制。深圳市中核海得威有限公司，项目负责人

（13）202106-202112 基于大数据分析与生成对抗网络技术的故障诊断系统。深圳市维申斯科技有限公司，项目负责人