# Richard Bertram : GPUfit: A Tool for Real-Time Model Calibration and Prediction Testing

Mathematical modeling has become a widely-used tool for integrating

biological data, designing experiments, and ultimately understanding

biological systems. In recent years two important challenges for the

successful use of mathematical models have become apparent. One is that

models contain parameters that determine the behavior of the model, and

the values of these parameters are often hard to determine from the

available biological data. The other challenge is that many biological

systems exhibit a great deal of heterogeneity in behavior, so even if the

model parameters could be perfectly calibrated by pooling cell behaviors

to produce an average cell model, this model may not provide a good

description of any single cell in the population. In this seminar I will

describe a technique that we are using to integrate mathematical modeling

into experimental studies in a way that addresses both of these challenges.

We study endocrine pituitary cells that release a variety of hormones into

the blood, and our aim is to develop an approach for modeling the

behaviors of these cells with enough accuracy so that we can use the

models to make and test predictions in real time.

**Category**: Mathematical Biology**Duration**: 01:09:53**Date**: February 28, 2014 at 11:55 AM**Views**: 105-
**Tags:**seminar, Mathematical Biology Seminar

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