Promotor: Roeland M.H. Merks

Promotor: Prof.dr. J.N. Kok

Drug-target binding kinetics determine the time course of the central event in pharmacotherapy: Drug-target interaction.

LUMC Technology Focus Area (TFA) Data Analytics is een samenwerkingsverband van verschillende onderzoeksgroepen in het LUMC die nieuwe kwantitatieve en computationele methodologie ontwikkelen voor biomedisch en klinisch onderzoek.

The zebrafish is a promising vertebrate model organism in early drug discovery and development.

Describe and identify what dosimetry parameters are of importance to interpret dose-response relationships (eg., mortality, sub-lethal, growth or reproduction inhabitation, DNA damage and reactive oxygen species, etc. ) for metal-based nanoparticles? How to develop quantitative models that enable to…

This thesis describes the importance of being able to control the selectivity of potential drug candidates.

Lezing

The long-held desire - to link structure directly to function and to explain molecular mechanisms based on basic chemical or physical principles - is finally coming closer, satisfying not only our scientific curiosity but also offering new solutions to the many challenges in the field of health, energy…

Assessing the risks of engineered nanomaterials (ENMs) solely on the basis of experimental assays is time-consuming, resource intensive, and constrained by ethical considerations (such as the principles of the 3Rs of animal testing). The adoption of computational toxicology in this field is a high p…

Optical projection tomography (OPT) is a tomographic 3D imaging technique used for specimens in the millimetre scale.

In this work we describe three methods to improve the performance of Quantum Field Theory calculations.

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.

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)

Existing work in probabilistic language modeling can be mostly divided into two categories: (i) Purely sequential, string-level approaches ensure fluency at the local level without notion of grammaticality and seek improvements in the use of massive training corpora. (ii) Fully structural, tree-based…

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

Promotie

Promotor: Prof.dr. H.V.J. Linnartz

Wiskunde en Natuurwetenschappen, Leiden Academic Centre for Drug Research (LACDR)

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

To improve cancer treatments, personalized medicine approaches have aimed to identify exactly which mutations are driving tumor development in a given patient and specifically target these mutations using precision therapies.

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

Nature uses a special class of histone proteins, histone variants, to modulate the properties of chromatin at defined genomic locations.

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.

Sonja Boas ontwikkelde nieuwe technieken om het groeiproces van bloedvaten op computationele wijze te bestuderen. De resultaten van haar onderzoek geven een beter begrip van mechanismen in bloedvatgroei en dat is relevant voor de ontwikkeling van medische therapieën. Promotie op dinsdag 22 december…

Promotor: Prof.dr. R.M.H. Merks

Promotie

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

Promotoren: Prof.dr. G.R. de Snoo en Dr. R. Heijungs

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

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

Peter Grunwald

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

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

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

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

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. W.J.G.M. Peijnenburg

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.

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

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

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

Promotores: Prof.dr. W.J.G.M. Peijnenburg & Dr. M.G. Vijver

Promotor: P.D. Grünwald

Promotor: Prof.dr. F. den Hollander, G.Maillard