余皓，博士，副研究员，医疗器械高级工程师，深圳市医疗器械行业协会副会长。2001年本科、2004年硕士、2013年博士毕业于浙江大学生物医学工程专业，2016-2018年美国印地安纳大学、普渡大学访问学者。致力于与疾病的诊断和治疗相关的多组学信息分析、医疗数据分析、预后建模及生物学机制研究，以及关键生物标志物筛选并产品化等工作。作为项目负责人承担国家自然科学基金、广东省自然科学基金、深圳市基础布局等项目10余项；共计在领域内诸如Journal of Controlled Release ，Clinical Cancer Research等国际著名期刊如发表文章 20余篇；获得专利和软件著作权十余项。

基因组学和人工智能分析

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