Submission information
Submission Number: 56
Submission ID: 82
Submission UUID: ac0a2fa5-e5ec-4991-a608-8ee4434ef7bb
Submission URI: /form/project
Created: Thu, 07/30/2020 - 10:16
Completed: Thu, 07/30/2020 - 10:20
Changed: Thu, 07/30/2020 - 10:23
Remote IP address: 24.166.235.75
Submitted by: Vikram Gazula
Language: English
Is draft: No
Webform: Project
Project Title: Physical Oncology Program: Kentucky (322) Project Leader -------------- Project Leader: Hermann Frieboes Email: hermann.frieboes@louisville.edu Mobile Phone: {Empty} Work Phone: {Empty} Project Information ------------------- Project Description: The Frieboes lab at UofL pursues an improved understanding of disease progression and response to treatment by applying principles from engineering and the physical sciences. The lab expertise is focused on the development and integration of mathematical modeling, computational simulation, and experimental biology techniques to study cancer. This work is part of the burgeoning field of “Physical Oncology,” in which cancer is studied not only from a biological standpoint but also as a physical system using mathematics and physics. This interdisciplinary study of cancer requires that experimental and clinical data drive the computational and modeling work. The aim of Dr. Frieboes’ research is to predict tumor behavior from the molecular and cellular scale events, with the ultimate goal to help guide the treatment of individual patients. This novel research intersects the fields of cancer biology, scientific computing, data visualization, mathematical biology, and physical oncology. The ultimate goal of this integrated physical sciences/biology work is to dramatically improve cancer treatment outcomes. To this end, the work can be divided into the following scientific contributions: Mathematical modeling and computational simulation to characterize tumor growth Multiscale linking of molecular- to cell- to-tissue-scale events during tumor progression Integration of modeling and experimentation to characterize cancer treatment response Modeling and simulation of cancer nanotherapy Modeling and simulation of cancer immunotherapy