Systems and Quantitative Biology: Modeling Biological Processes | AIChE

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Systems and Quantitative Biology: Modeling Biological Processes

Chair(s)

Saha, R., University of Nebraska-Lincoln

Co-chair(s)

Kieslich, C., Auburn University

Biological systems are extremely complex and include a wide variety of control processes and regulatory mechanisms. This session will focus on the development and application of modeling techniques to describe and/or predict these processes. The scale of these models varies from the molecular level to networks to genomes.

Presentations

8:00 AM
(648a) Systems medicine for revealing immunopathogenic mechanisms of age-dependent respiratory infection severity
8:18 AM
(648b) A Flight Simulator for Cancer Immunotherapy: Modeling CAR T-Cells in a Solid Tumor Context
8:36 AM
(648c) Computational Modeling of the Relationship between Immune Cell Populations and the Bone Remodeling Cycle
8:54 AM
(648d) A Deep Learning Approach for Predicting Cell Motility States and Evaluating Cellular Heterogeneity
9:12 AM
(648e) Multicellular Spatial Model of RNA Virus Replication and Interferon Responses Reveals Factors Controlling Plaque Growth Dynamics
9:30 AM
(648f) An Objective Method Screening Approach for Optimizing Cell Tracking and Identity Annotation in Dense Fluorescent Microscopic Images
9:48 AM
(648g) Using Modeling As Guide to Engineer Microbes for Industrial Applications

Topics 

Biological Engineering

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Pricing

Individuals

AIChE Pro Members $150.00
AIChE Emeritus Members $105.00
AIChE Graduate Student Members Free
AIChE Undergraduate Student Members Free
AIChE Explorer Members $225.00
Non-Members $225.00

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