nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
1 |
Advancing cancer drug development with mechanistic mathematical modeling: bridging the gap between theory and practice
|
Kulesza, Alexander |
|
|
51 |
6 |
p. 581-604 |
artikel |
2 |
An asymptotic description of a basic FcRn-regulated clearance mechanism and its implications for PBPK modelling of large antibodies
|
Kátai, Csaba B. |
|
|
51 |
6 |
p. 759-783 |
artikel |
3 |
A quantitative modeling framework to understand the physiology of the hypothalamic-pituitary-adrenal axis and interaction with cortisol replacement therapy
|
Bindellini, Davide |
|
|
51 |
6 |
p. 809-824 |
artikel |
4 |
A quantitative systems pharmacology model of plasma kallikrein-kinin system dysregulation in hereditary angioedema
|
Sexton, Dan |
|
|
51 |
6 |
p. 721-734 |
artikel |
5 |
A review of the physiological effects of microgravity and innovative formulation for space travelers
|
Pachiyappan, Jey Kumar |
|
|
51 |
6 |
p. 605-620 |
artikel |
6 |
A systematic evaluation of population pharmacokinetic models for polymyxin B in patients with liver and/or kidney dysfunction
|
Li, Xueyong |
|
|
51 |
6 |
p. 685-702 |
artikel |
7 |
Comparison of monoclonal antibody disposition predictions using different physiologically based pharmacokinetic modelling platforms
|
De Sutter, Pieter-Jan |
|
|
51 |
6 |
p. 639-651 |
artikel |
8 |
Computing optimal drug dosing regarding efficacy and safety: the enhanced OptiDose method in NONMEM
|
Bachmann, Freya |
|
|
51 |
6 |
p. 919-934 |
artikel |
9 |
Expansion of platform physiologically-based pharmacokinetic model for monoclonal antibodies towards different preclinical species: cats, sheep, and dogs
|
Huang, Hsien-Wei |
|
|
51 |
6 |
p. 621-638 |
artikel |
10 |
Five multivariate Duchenne muscular dystrophy progression models bridging six-minute walk distance and MRI relaxometry of leg muscles
|
Yoon, Deok Yong |
|
|
51 |
6 |
p. 671-683 |
artikel |
11 |
General quasi-equilibrium multivalent binding model to study diverse and complex drug-receptor interactions of biologics
|
Ng, Chee M. |
|
|
51 |
6 |
p. 841-857 |
artikel |
12 |
Generation of realistic virtual adult populations using a model-based copula approach
|
Guo, Yuchen |
|
|
51 |
6 |
p. 735-746 |
artikel |
13 |
Generative models for synthetic data generation: application to pharmacokinetic/pharmacodynamic data
|
Jiang, Yulun |
|
|
51 |
6 |
p. 877-885 |
artikel |
14 |
Impact of covariate model building methods on their clinical relevance evaluation in population pharmacokinetic analyses: comparison of the full model, stepwise covariate model (SCM) and SCM+ approaches
|
Philipp, Morgane |
|
|
51 |
6 |
p. 653-670 |
artikel |
15 |
In memory of Dr. Thomas M. Ludden: a pioneer in pharmacometrics, a mentor to many, and a legacy of compassionate science
|
Riley, Steve |
|
|
51 |
6 |
p. 575-576 |
artikel |
16 |
Likelihood comparisons in bounded outcome score analysis must be internally consistent
|
Hu, Chuanpu |
|
|
51 |
6 |
p. 577-579 |
artikel |
17 |
Mixed effect estimation in deep compartment models: Variational methods outperform first-order approximations
|
Janssen, Alexander |
|
|
51 |
6 |
p. 797-808 |
artikel |
18 |
Population pharmacokinetic analyses of pozelimab in patients with CD55-deficient protein-losing enteropathy (CHAPLE disease)
|
Lin, Kuan-Ju |
|
|
51 |
6 |
p. 905-917 |
artikel |
19 |
Population pharmacokinetics and exposure–response relationships of maribavir in transplant recipients with cytomegalovirus infection
|
Song, Ivy H. |
|
|
51 |
6 |
p. 887-904 |
artikel |
20 |
pyDarwin machine learning algorithms application and comparison in nonlinear mixed-effect model selection and optimization
|
Li, Xinnong |
|
|
51 |
6 |
p. 785-796 |
artikel |
21 |
Target-mediated drug disposition model for drugs with N > 2 binding sites that bind to a target with one binding site
|
Gibiansky, Leonid |
|
|
51 |
6 |
p. 703-720 |
artikel |
22 |
Time Scale Calculus: a new approach to multi-dose pharmacokinetic modeling
|
Arteaga-Bejarano, José Ricardo |
|
|
51 |
6 |
p. 825-839 |
artikel |
23 |
Virtual clinical trials via a QSP immuno-oncology model to simulate the response to a conditionally activated PD-L1 targeting antibody in NSCLC
|
Ippolito, Alberto |
|
|
51 |
6 |
p. 747-757 |
artikel |
24 |
Visual predictive check of longitudinal models and dropout
|
Hu, Chuanpu |
|
|
51 |
6 |
p. 859-875 |
artikel |