The use of systems modeling and analysis is central to the study of the absorption, distribution and elimination of therapeutic drugs, understanding how drugs produce their effects and quantifying how genomic and other factors influence an individual's therapeutic response to treatment. Over the past 30 years, systems modeling and simulation has evolved to become a critical component in efforts to understand and quantify the processes of uptake, disposition and action of therapeutic drugs. Methods for pharmacokinetic/pharmacodynamic systems modeling and analysis impact all aspects of drug development including in vitro, animal and human testing, as well as drug therapy. Systems modeling methodologies developed for studying pharmacokinetic/ pharmacodynamic processes confront many challenges related in part to the severe restrictions on the number and type of measurements that are available from laboratory experiments and clinical trials, as well as the variability in the experiments and the complexity of the processes themselves. The overall goal of Core project #1 is to develop, evaluate, apply and disseminate systems modeling and analysis methods that will improve the study of drug action in all phases of the drug development, leading to more effective treatments.

Agency
National Institute of Health (NIH)
Institute
National Institute of Biomedical Imaging and Bioengineering (NIBIB)
Type
Biotechnology Resource Grants (P41)
Project #
2P41EB001978-29
Application #
8590487
Study Section
Special Emphasis Panel (ZEB1-OSR-C (M2))
Project Start
Project End
Budget Start
2013-09-01
Budget End
2014-08-31
Support Year
29
Fiscal Year
2013
Total Cost
$223,424
Indirect Cost
$84,735
Name
University of Southern California
Department
Type
DUNS #
072933393
City
Los Angeles
State
CA
Country
United States
Zip Code
90089
Wu, L S; Jimmerson, L C; MacBrayne, C E et al. (2016) Modeling Ribavirin-Induced Anemia in Patients with Chronic Hepatitis C Virus. CPT Pharmacometrics Syst Pharmacol 5:65-73
Hendrickson, Phillip J; Yu, Gene J; Song, Dong et al. (2016) A Million-Plus Neuron Model of the Hippocampal Dentate Gyrus: Critical Role for Topography in Determining Spatiotemporal Network Dynamics. IEEE Trans Biomed Eng 63:199-209
Marmarelis, V Z; Mitsis, G D; Shin, D C et al. (2016) Multiple-input nonlinear modelling of cerebral haemodynamics using spontaneous arterial blood pressure, end-tidal CO2 and heart rate measurements. Philos Trans A Math Phys Eng Sci 374:
Javed, Ahsan; Kim, Yoon-Chul; Khoo, Michael C K et al. (2016) Dynamic 3-D MR Visualization and Detection of Upper Airway Obstruction During Sleep Using Region-Growing Segmentation. IEEE Trans Biomed Eng 63:431-7
Gallegos, Karen M; Drusano, George L; D Argenio, David Z et al. (2016) Chikungunya Virus: In Vitro Response to Combination Therapy With Ribavirin and Interferon Alfa 2a. J Infect Dis 214:1192-7
Weiss, Michael; Tura, Andrea; Kautzky-Willer, Alexandra et al. (2016) Human insulin dynamics in women: a physiologically based model. Am J Physiol Regul Integr Comp Physiol 310:R268-74
Sandler, Roman A; Marmarelis, Vasilis Z (2015) Understanding spike-triggered covariance using Wiener theory for receptive field identification. J Vis 15:16
Hu, Eric Y; Bouteiller, Jean-Marie C; Song, Dong et al. (2015) The volterra functional series is a viable alternative to kinetic models for synaptic modeling--calibration and benchmarking. Conf Proc IEEE Eng Med Biol Soc 2015:3291-4
Sandler, Roman A; Song, Dong; Hampson, Robert E et al. (2015) Hippocampal closed-loop modeling and implications for seizure stimulation design. J Neural Eng 12:056017
Song, Dong; Chan, Rosa H M; Robinson, Brian S et al. (2015) Identification of functional synaptic plasticity from spiking activities using nonlinear dynamical modeling. J Neurosci Methods 244:123-35

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