Modeling Techniques for Complex Biological Systems

Date: August 11
Time: 13:30--15:30
Room: 403

(Note: Click title to show the abstract.)

Tran, Hien (North Carolina State Univ.)

Abstract: Mathematical models when used in conjunction with data can be powerful tools in uncovering mechanisms in complex biological systems. These data-oriented mathematical models require modeling techniques such as sensitivity analysis, generalized sensitivity functions, and parameter subset selection for the model building process. In addition, application of models to data from multiple subjects requires that the model must be integrated into a statistical framework to recognize within subject variation, as well as variation across the population. In this mini-symposium, invited speakers will discuss these mathematical and statistical modeling concepts in the context of biological applications such as malignant brain tumor, pharmacokinetic of Metformin, cardiovascular system, and drug delivery in the nasal passages.

Modeling Surgical Outcomes and Drug Delivery in the Nasal Passages
Frank-Ito, Dennis (Duke Univ.)

Mathematical Modeling of Malignant Brain Tumor with immunostimulatory glycoprotein, T11 Target Structure.
Banerjee, Sandip (Indian Inst. of Tech. Roorkee)

A Stochastic Approach to Nonlinear Mixed Effects Modeling: Applications to Pharmacokinetics Modeling of Metformin
Tran, Hien (North Carolina State Univ.)

Generalized Sensitivity Functions and Parameter Subset Selection for a Model of the Cardiovascular System
Kappel, Franz (Univ. of Graz)


Code: Type-Date-Time-Room No.
Type : IL=Invited Lecture, SL=Special Lectures, MS=Minisymposia, IM=Industrial Minisymposia, CP=Contributed Papers, PP=Posters
Date: Mo=Monday, Tu=Tuesday, We=Wednesday, Th=Thursday, Fr=Friday
Time : A=8:30-9:30, B=10:00-11:00, C=11:10-12:10, BC=10:00-12:10, D=13:30-15:30, E=16:00-18:00, F=19:00-20:00, G=12:10-13:30, H=15:30-16:00
Room No.: TBA