Department of Mathematics
Clarkson University
Colloquium
Allison Lewis
Assistant Professor
Lafayette College
will speak on
“Harnessing the power of tumor dynamics modeling to assist with clinical decision-making”
Abstract: With new advancements in technology, we can now collect data describing tumor growth using numerous methods. For any model describing tumor growth, we observe large variability among individual patients’ parameter
values; thus, exploiting the use of these various data metrics for model calibration can be helpful to infer such patient-specific parameters both accurately and early. Since clinicians are limited to a sparse data collection schedule, the determination of optimal times at which to collect data in order to best inform the model calibration is essential. We employ a Bayesian information-theoretic calibration protocol for experimental design to identify these optimal times, choosing them sequentially in order to maximize the reduction in parameter uncertainty with each added measurement. This ensures that a budget of n measurements results in maximum information gain about the model parameter values, thus abiding by clinical constraints.
Monday, November 8, 2021
12:00pm
SC 166
