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

We aim to gain a better understanding of the natural disease progression of ALS in order to improve clinical trial design and analysis and to support drug discovery and clinical development of new drugs.

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

The advanced insights obtained for the CNS PBPK model development are currently used to develop advanced mathematical models for drug distribution prediction in other body tissues protected by barriers, such as the gut. The gut PBPK model will be linked to drug effects for treatment of colon cancer.

Promotor: C.A.J. Knibbe, Co-promotores: H.P.A. van Dongen, B. van Ramshorst

Currently, more than 80% of drugs are used in an off-label manner in critically ill neonates.

Can the (industrial) herbal extraction process be mathematically described and can this model be used to optimize the extraction in terms of quality and economical parameters?

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.

After 41 years, Meindert Danhof, Professor of Pharmacology, is leaving the Leiden Academic Centre for Drug Research on 31 March. A symposium in his honour, prior to his farewell lecture, will show what has been achieved in this period. Danhof takes a look back on his career.

Promotor: Roeland M.H. Merks

The lack of success of new CNS drugs in clinical development is in part due to the complexity of the CNS, unexpected side effects, difficulties for drugs to penetrate the brain, but also by the lack of biomarkers.

This computational approach to the complexity of text comprehension is useful for describing the cognitive processes involved.

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…

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)

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

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

Main challenges in skin vaccination are overcoming the stratum corneum (SC) barrier and targeting the antigen presenting cells (APC) in the epidermis and the dermis.

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

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

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.

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

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

Arts and leisure, Arts and leisure

The kidneys play a major role in the elimination of drugs. In children, the exact age-related physiological changes underlying kidney function remain largely unknown.

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

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

Systems pharmacology aims to apply techniques from systems biology to pharmacological models.

An integrated approach of physiological concepts, advanced statistical approaches and large clinical datasets.

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

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

Peter Grunwald

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

ASLU 14

In this project, we aim to develop mathematical models to mechanistically and quantitatively predict the dynamics of cellular stress pathway activation and its relation with toxic effects when cells are exposed to various toxicants.

Promotor: Prof.dr. W.J.G.M. Peijnenburg, Co-promotor: Dr. ing. M.G. Vijver

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.

An important hormone excreting gland in the human body is the pituitary

Classical mathematical models treat space and time as a continuum, while it is sometimes more useful to regard it as granular. Hupkes is studying what this means for a number of important patterns that are often found in computer calculations and in nature.

Are predictive archaeological maps a reliable tool to play an important role in the spatial planning? One of the goals of this project was to develop best practices for the production and application of the models.

A research agenda

In this research project child language phonology is studied from the perspective of a psycholinguistic speech-production model and this model is in turn studied from the perspective of developmental phonology.

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

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.

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

Promotor: 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.

Chemical reactions go hand-in-hand with an energy exchange with the environment in which they take place. Surfaces offer a variety of energy dissipation channels, constituted by the nuclear and electronic degrees of freedom of the atoms at the interface. Aiming at an improved future harvesting of energy,…