M. Danhof, Co-promotores: J. Freijer, A. Yassen

Growth hormone profiles are pulsatile and highly variable between individuals, limiting the implementation of mathemathical models to quantify an individual's secretion.

In this thesis population pharmacokinetic and physiologically-based pharmacokinetic (PBPK) approaches were applied to investigate the influence of glomerular filtration (GF) and active tubular secretion (ATS) on renal clearance in children.

De hedendaagse gezondheidszorg staat voor vele uitdagingen. De nieuwe interdisciplinaire master PHM leidt je in twee jaar op om een bijdrage te kunnen leveren aan een meer geïntegreerd gezondheidszorgsysteem.

In populations with a seed-bank, individuals can temporarily become dormant and refrain from reproduction until they can become active again. The repository of all dormant individuals in the population is called the seed-bank. Seed-banks are observed in many taxa, including plants, bacteria and other…

Promotor: Prof.dr. M. Danhof, Co-Promotor: J. de Jongh

Promotor: S.M. Verduyn Lunel, Co-promotor: O. van Gaans

Een nieuwe infrastructuur voor onderzoeksdata in computationele sociale wetenschappen

Model based approaches, integrating physiological parameters or linking exposure with response, are powerful tools to quantify and evaluate the impact of genetic differences that are reflected as variability of drug exposure and/or clinical response(s). This thesis “Pharmacogenomics in Drug Development: …

It has now been well established that shocks and turbulent motions in the intra-cluster medium (ICM) generated through cluster mergers can produce large-scale synchrotron emission.

Studievoorlichting

We strive to address the challenge of constructing a modeling language to write software which can take advantage of recent hardware developments (multicore, cloud) without compromising in its abstraction levels.

Promotor: Roeland M.H. Merks

Description of Biotic ligand models: making an inventory of available models & assessment of the variability of the predicted HC5 using the BLMs in different Dutch water types (2005 - 2007)

... which builds on self-regulation and stress-regulation theories and considers the modification of cognitions as a mediator of therapeutic change.

To limit the effects of climate change, global average temperature since pre-industrial measurements are to be kept well below 2 °C preferably even at 1.5 °C.

Epithelial-mesenchymal plasticity (EMP) and tumor cell migration play an important role in cancer progression, and an improved understanding of the mechanisms underlying these concepts is essential for developing new targeted approaches.

Real-life processes are characterized by dynamics involving time. Examples are walking, sleeping, disease progress in medical treatment, and events in a workflow.

Promotor: Prof.dr. E. Deprettere

Kunst en vrije tijd, Kunst en vrije tijd

Death in all types of melanomas is generally caused by metastasis. Uveal melanoma (UM) is the most common intraocular melanoma, there are currently no (patient-derived) animal models that faithfully recapitulate metastatic dissemination of UM.

This dissertation studies the Asymptotics of Bayesian nonparametric inference for Gaussian linear models.

Promotores: Prof.dr. P.C.W. Hogendoorn & Prof.dr. H.P. Spaink Co-promotor: Dr. B.E. Snaar-Jagalska

Industrial manufacturing processes, such as the production of steel or the stamping of car body parts, are complex semi-batch processes with many process steps, machine parameters and quality indicators.

Immunotherapies for cancer are an emerging class of therapeutic strategies which aim to treat cancer via augmentation of the immune system.

Making a dynamic substance stock model in order to conduct scenario analyses and make forecasts.

Promotor: Prof.dr. J.N. Kok, Co-promotor: F.J. Verbeek

The molecular mechanisms that instigate a healthy cell to become malignant are fueled by (epi)genetic alterations in so-called driver genes.

This dissertation focuses on developing new mathematical and statistical methods to properly represent time-varying covariates and model them within the context of time-to-event analysis.

From surface science towards industrial practice using high-pressure scanning tunneling microscopy.

Peter Grunwald

In this thesis, we extend the concept of null models as canonical ensembles of multi-graphs with given constraints and present new metrics able to characterize real-world layered systems based on their correlation patterns.

Clinical development of drugs for central nervous system (CNS) disorders has been particularly challenging and still suffers from high attrition rates.

Promotor: Prof.dr. F.S. de Boer, Co-promotor: D. Clarke

Wiskunde en Natuurwetenschappen, Centrum voor Milieuwetenschappen Leiden (CML)

Promotor: B.van de Water, Co-promotor: L.S.Price

Synthetic microswimmers take an important place within the interdisciplinary field of active soft matter.

Promotor: Prof.dr. B. van de Water, Co-promotores: L.T.M. van der Ven, A.S. Kienhuis

What is the population size and social structure in time and space? What is the lion diet and food preference in time and space? What is the home range (MCP and Kernel) and movement in time and space? What are human – lion conflict and responses of lions to traditional herding in time and space? What…

Lysosomal storage disorders (LSDs) are a group of orphan diseases characterized by lysosomal dysfunction or impaired lysosomal catabolism and affect collectively about 1 in 5000 live births.

Promotor: Prof.dr. M. Danhof, Co-promotor: O.E. Della Pasqua

Promotor: Prof.dr. W.J.G.M. Peijnenburg

In this thesis, mathematical modeling and simulation was applied as a tool to inform quantitative decision making in oncology drug discovery and development.

Wiskunde en Natuurwetenschappen, Centrum voor Milieuwetenschappen Leiden (CML)

Decarbonizing the building stock is critical for realizing the climate-neutral target for the Netherlands.

Promotores: G.R. de Snoo, B. Sinsin, Co-Promotor: H.H. de Iongh

Promotor: Prof. dr. A.G.G.M. Tielens

It is a common technique in global optimization with expensive black-box functions to learn a surrogate-model of the response function from past evaluations and use it to decide on the location of future evaluations.

Promotor: P.D. Grünwald