about
Parameter Identifiability of Fundamental Pharmacodynamic ModelsMixed Effects Modeling Using Stochastic Differential Equations: Illustrated by Pharmacokinetic Data of Nicotinic Acid in Obese Zucker Rats.A method for zooming of nonlinear models of biochemical systems.Zooming of states and parameters using a lumping approach including back-translation.A continuous-time adaptive particle filter for estimations under measurement time uncertainties with an application to a plasma-leucine mixed effects modelA Nonlinear Mixed Effects Approach for Modeling the Cell-To-Cell Variability of Mig1 Dynamics in YeastBiochemical modeling with Systems Biology Graphical Notation.Toward quantifying the thymic dysfunctional state in mouse models of inflammatory bowel disease.Bridging the gaps in systems biology.Kinetic models in industrial biotechnology - Improving cell factory performance.Modeling of free fatty acid dynamics: insulin and nicotinic acid resistance under acute and chronic treatments.Comparison of approaches for parameter identifiability analysis of biological systems.Yeast AMP-activated protein kinase monitors glucose concentration changes and absolute glucose levels.Heterogeneous kinetics of AKT signaling in individual cells are accounted for by variable protein concentration.Three novel approaches to structural identifiability analysis in mixed-effects models.Dose-response-time modelling: Second-generation turnover model with integral feedback control.Using sensitivity equations for computing gradients of the FOCE and FOCEI approximations to the population likelihood.Bile canalicular dynamics in hepatocyte sandwich cultures.Joint feedback analysis modeling of nonesterified fatty acids in obese Zucker rats and normal Sprague-Dawley rats after different routes of administration of nicotinic acid.Stochastic differential equations as a tool to regularize the parameter estimation problem for continuous time dynamical systems given discrete time measurements.Systems Biology Toolbox for MATLAB: a computational platform for research in systems biology.Model-based evaluation of radiation and radiosensitizing agents in oncology.Extending existing structural identifiability analysis methods to mixed-effects models.Tumor Static Concentration Curves in Combination Therapy.Maxsim2 - Real-time interactive simulations for computer-assisted teaching of pharmacokinetics and pharmacodynamics.Investigations of a compartmental model for leucine kinetics using non-linear mixed effects models with ordinary and stochastic differential equations.Modeling long-term tumor growth and kill after combinations of radiation and radiosensitizing agentsModelling of oscillatory cortisol response in horses using a Bayesian population approach for evaluation of dexamethasone suppression test protocolsChallenge model of TNFα turnover at varying LPS and drug provocations.Evaluation and translation of combination therapies in oncology - A quantitative approachExact Gradients Improve Parameter Estimation in Nonlinear Mixed Effects Models with Stochastic DynamicsDose-Response-Time Data Analysis: An Underexploited TrinityChallenging the dose-response-time data approach: Analysis of a complex system
P50
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P50
description
onderzoeker
@nl
researcher
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հետազոտող
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name
Mats Jirstrand
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Mats Jirstrand
@en
Mats Jirstrand
@es
Mats Jirstrand
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type
label
Mats Jirstrand
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Mats Jirstrand
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Mats Jirstrand
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Mats Jirstrand
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Mats Jirstrand
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Mats Jirstrand
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Mats Jirstrand
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Mats Jirstrand
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P106
P1153
6602434691
P2456
P31
P496
0000-0002-6612-8037