| nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
| 1 |
A Lyapunov based heuristic to speed up convergence of a feedback optimization framework with experiment batches-application to bioprocess manufacturing
|
Pasquini, Mirko
|
|
|
55 |
23 |
p. 135-140
|
artikel
|
| 2 |
An inverse transformation algorithm to infer parameter distributions from population snapshot data
|
Wagner, Vincent
|
|
|
55 |
23 |
p. 86-91
|
artikel
|
| 3 |
A Simultaneous Training and Input Selection Algorithm for Classification Problems Using Piecewise Approximations
|
Sildir, Hasan
|
|
|
55 |
23 |
p. 7-12
|
artikel
|
| 4 |
A whole-body multi-scale mathematical model for dynamic simulation of the metabolism in man
|
Carstensen, Peter Emil
|
|
|
55 |
23 |
p. 58-63
|
artikel
|
| 5 |
Bayesian Optimal Experiment Design for Sloppy Systems
|
Jagadeesan, Prem
|
|
|
55 |
23 |
p. 121-126
|
artikel
|
| 6 |
Cell-free biosynthesis meets dynamic optimization and control: a fed-batch framework
|
Espinel-Ríos, Sebastián
|
|
|
55 |
23 |
p. 92-97
|
artikel
|
| 7 |
Collagen Deposition in Diabetic Kidney Disease Boosts Intercellular Signaling: A Mathematical Model
|
Thomas, Haryana Y.
|
|
|
55 |
23 |
p. 68-73
|
artikel
|
| 8 |
Consensus clustering approaches in the analysis of wearables and biosensors
|
Vlajnic, Vanja
|
|
|
55 |
23 |
p. 64-67
|
artikel
|
| 9 |
Contents
|
|
|
|
55 |
23 |
p. i-vi
|
artikel
|
| 10 |
Controlling gene expression in microbial populations using a multicellular architecture
|
Salzano, D.
|
|
|
55 |
23 |
p. 167-168
|
artikel
|
| 11 |
Differential flatness and Liouvillian character of two HPA axis models
|
Nicolau, F.
|
|
|
55 |
23 |
p. 52-57
|
artikel
|
| 12 |
Effect of Metabolic Rates in the Modeling of the Cardio-Respiratory System in COPD patients
|
Kurian, Varghese
|
|
|
55 |
23 |
p. 41-45
|
artikel
|
| 13 |
Elucidation of TFEB nuclear translocation dynamics in human cells by means of Quantitative Modelling and Microfluidics
|
Ruolo, Iacopo
|
|
|
55 |
23 |
p. 150-155
|
artikel
|
| 14 |
Estimating Rates of Switching Between Cell States Using a Single Time Point Measurement
|
Saint-Antoine, Michael M.
|
|
|
55 |
23 |
p. 80-85
|
artikel
|
| 15 |
High-content imaging and network modeling maps drug-induced regulation of cardiac fibroblast phenotype
|
Nelson, Anders R.
|
|
|
55 |
23 |
p. 25-26
|
artikel
|
| 16 |
Identification of Apolipoprotein E4 inhibitors for Alzheimer's Disease Therapy through a Large-Scale Virtual Screening
|
Krass, Emily
|
|
|
55 |
23 |
p. 27-32
|
artikel
|
| 17 |
Large-scale Virtual Clinical Trials of Closed-loop Treatments for People with Type 1 Diabetes
|
Ritschel, Tobias K.S.
|
|
|
55 |
23 |
p. 169-174
|
artikel
|
| 18 |
Mathematical modeling of SARS-CoV-2 viral dynamics and treatment with monoclonal antibodies
|
Kareva, Irina
|
|
|
55 |
23 |
p. 175-179
|
artikel
|
| 19 |
Metabolomic Patterns Observed among Children with Autism Spectrum Disorder following Vitamin/Mineral Supplementation
|
Qureshi, Fatir A.
|
|
|
55 |
23 |
p. 156-160
|
artikel
|
| 20 |
Meta-Ranker: Efficient Design of Combination Drug Products for Complex Diseases
|
Shirodkar, Shreya
|
|
|
55 |
23 |
p. 141-145
|
artikel
|
| 21 |
Modeling Adeno-Associated Virus (AAV) Gene Therapy: When Systems Biology met Systems Pharmacology
|
Pichardo-Almarza, Cesar
|
|
|
55 |
23 |
p. 127-128
|
artikel
|
| 22 |
Modeling and Analysis of the Intrinsic Cardiac Nervous System in Closed-Loop Cardiovascular Control
|
Gee, Michelle M.
|
|
|
55 |
23 |
p. 146-147
|
artikel
|
| 23 |
Modeling isogenic cancer cell response upon varying TRAIL stimulations to decipher the kinetic determinants of cell fate decision
|
Péré, Marielle
|
|
|
55 |
23 |
p. 46-51
|
artikel
|
| 24 |
Modeling Organ Failure Under Hypoxic Stress
|
Papadopoulos, Stefanos
|
|
|
55 |
23 |
p. 33-34
|
artikel
|
| 25 |
Next generation whole-cell biosensors
|
Fusco, Virginia
|
|
|
55 |
23 |
p. 161-166
|
artikel
|
| 26 |
Nonlinear Model Predictive Control based on multi-scale models: is it worth the complexity?
|
Bhonsale, Satyajeet
|
|
|
55 |
23 |
p. 129-134
|
artikel
|
| 27 |
Optimal Temperature Protocols for Liver Machine Perfusion Using a Monte Carlo Method
|
Lucia, Angelo
|
|
|
55 |
23 |
p. 35-40
|
artikel
|
| 28 |
Patient-Specific Genome-Scale Metabolic Models for Individualized Predictions of Liver Disease
|
Manchel, Alexandra
|
|
|
55 |
23 |
p. 148-149
|
artikel
|
| 29 |
Prediction of gene essentiality using machine learning and genome-scale metabolic models
|
Freischem, Lilli J
|
|
|
55 |
23 |
p. 13-18
|
artikel
|
| 30 |
Reconstruction of unintended interactions in synthetic gene circuits from time-series perturbation experiments
|
Wang, Yu
|
|
|
55 |
23 |
p. 19-24
|
artikel
|
| 31 |
Sensitivity analysis of biophysically-detailed tripartite synapse model
|
Seppälä, Ippa
|
|
|
55 |
23 |
p. 115-120
|
artikel
|
| 32 |
Soft sensor for monitoring dynamic changes in cell composition
|
Espinel-Ríos, Sebastián
|
|
|
55 |
23 |
p. 98-103
|
artikel
|
| 33 |
Stably Accelerating Stiff Quantitative Systems Pharmacology Models: Continuous-Time Echo State Networks as Implicit Machine Learning
|
Anantharaman, Ranjan
|
|
|
55 |
23 |
p. 1-6
|
artikel
|
| 34 |
System Analysis of Target-Mediated Drug Disposition (TMDD) Models
|
Radisavljevic-Gajic, Verica
|
|
|
55 |
23 |
p. 74-79
|
artikel
|
| 35 |
Transport and Reaction Modeling of Nanocarriers for Cancer Therapeutics: Experimental and in silico approaches
|
Kavousanakis, Mihalis
|
|
|
55 |
23 |
p. 104-108
|
artikel
|
| 36 |
Using parameter sampling to explore key properties of E. coli's anaerobic metabolism
|
Slaviero, Giulia
|
|
|
55 |
23 |
p. 109-114
|
artikel
|
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