Multiscale Computational Models Guided By Emerging Cellular Dynamics Quantification For Predicting Optimum Immune Checkpoint And Targeted Therapy Schedules

syn22092619

Created By Xengie Doan xengie.doan

theme: Tumor-Immune
grantId: syn22092619
abstract: We aim to use mathematical modeling, driven with data extracted from novel cellular quantification experimental technologies, in order to inform the organization of combination immune checkpoint and fibroblast growth factor receptor-3 (FGFR3) inhibitor therapy.
grantName: Multiscale Computational Models Guided By Emerging Cellular Dynamics Quantification For Predicting Optimum Immune Checkpoint And Targeted Therapy Schedules
grantType: U01
consortium: CSBC
institution: University of Michigan | University of Chicago
investigator: Trachette Jackson

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