报告题目: Mathematical modeling and dynamic analysis for cancer resistance incorporating persister cells

报告人:邹秀芬

报告时间: 2024年5月24日14:00-15:30

报告地点:数学与统计学院3301教室

专家简介:

邹秀芬，武汉大学数学与统计学院二级教授，博土生导师。长期从事数学与生物医学等交叉学科研究，近年来主持承担了国家自然科学基金重点项目、面上项目和科技部国家重大研究计划课题等科研课题。在复杂疾病的海量数据集成、多尺度建模和复杂疾病的优化控制等方面取得了-系列成果，已在"PNAS","SIAM Journal on Applied Mathematics" ,"PLOS Computational Biology","IEEE Transactions on Biomedical Engineering"等国际重要学术期刊上发表相关的学术论文。

报告摘要:

Drug resistance is a key impediment to cancer treatment, however,the resistance mechanism remains controversial. Experiment evidence indicated that persister cells, a subpopulation in a transient pseudo-dormant state, are posited to play a potential role in the emergence of resistance. In this talk, I will introduce a novel mathematical model for describing the interactions among sensitive, persister, and resistant cells to qualitatively and quantitatively analyze how persister cells affect cancer evolution and unravel the underlying resistance mechanisms.