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Insulin Signaling in Type 2 Diabetes
Background: Mechanisms of insulin resistance in type 2 diabetes are not known. Results: A first dynamic mathematical model based on data from human adipocytes yields systems level understanding ofExpand
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Predicting QRS and PR interval prolongations in humans using nonclinical data
Risk of cardiac conduction slowing (QRS/PR prolongations) is assessed prior to clinical trials using in vitro and in vivo studies. Understanding the quantitative translation of these studies to theExpand
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Modeling and Simulation Approaches for Cardiovascular Function and Their Role in Safety Assessment
Systems pharmacology modeling and pharmacokinetic‐pharmacodynamic (PK/PD) analysis of drug‐induced effects on cardiovascular (CV) function plays a crucial role in understanding the safety risk of newExpand
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Parameter Identifiability of Fundamental Pharmacodynamic Models
TLDR
We analyzed the structural identifiability of 16 commonly applied pharmacodynamic model structures was analyzed analytically, using the input-output approach. Expand
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PKPD modelling of PR and QRS intervals in conscious dogs using standard safety pharmacology data.
INTRODUCTION Pharmacokinetic-pharmacodynamic (PKPD) modelling can improve safety assessment, but few PKPD models describing drug-induced QRS and PR prolongations have been published. ThisExpand
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A tutorial on model informed approaches to cardiovascular safety with focus on cardiac repolarisation
Drugs can affect the cardiovascular (CV) system either as an intended treatment or as an unwanted side effect. In both cases, drug-induced cardiotoxicities such as arrhythmia and unfavourableExpand
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Modeling as a Tool to Support Self-Management of Type 1 Diabetes
Type 1 diabetes (T1D) is an auto-immune disease characterized by insulin-deficiency. Insulin is a metabolic hormone that is involved in lowering blood glucose (BG) levels in order to control BG levExpand