Dr. Xiaolu Xu, Liaoning Normal University, China

Dr. Xiaolu Xu, Liaoning Normal University, China

徐晓璐博士，辽宁师范大学

The researcher focuses on how to effectively utilize machine learning, deep learning, and other algorithms to extract and leverage medical big data, analyze and predict important features and risks of typical complex diseases such as cardiovascular disease and cancer, and conduct cross-disciplinary research between information science and medicine, thereby providing crucial support for precision medicine. This includes relevant studies on cancer targeted genes and signaling pathways identification, high-dimensional feature selection and sensitivity prediction of anticancer drugs, and prediction of coronary artery disease complications based on machine learning, statistical methods, federated learning, privacy computation, and multi-task learning.

The researcher has participated in four projects including National Natural Science Foundation and Dalian Key R&D Plan, published four SCI papers and two Chinese core papers, and applied for two invention patents (in the stage of substantive examination). The developed data model products have been successfully commercialized with a transformation outcome of over 2 million yuan for the company.

围绕如何利用机器学习、深度学习等算法有效挖掘和利用医学大数据，分析和预测心血管、癌症等典型复杂疾病的重要特征和发病风险，开展信息科学和医学的交叉研究，从而为精准医疗提供重要支持。其中包括基于机器学习、统计方法、联邦学习、隐私计算、多任务学习等的癌症靶向基因及信号通路辨识、抗癌药物高维特征选择及敏感性预测、冠心病合并症预测等相关研究。参与国家自然科学基金、大连市重点研发计划等项目4项，发表SCI论文4篇，中文核心论文2篇，申请发明专利2项（公开实质审查阶段），研发的数据模型产品为公司转化成果200余万元。