The aim of this research area is to be able to predict human drug response on the basis of mathematical models that are developed using preclinical experiments and prior knowledge.

In the future, physicians may be able to identify dementia much earlier than they can today because a computer algorithm will be able to predict from brain scans how our memory is going to develop.

Prof. Elizabeth de Lange is concerned with the allocation of resources for the conduct of science towards the goal of best serving the public interest. Also, while she underscores that there is still the need for using animals in drug research, she is concerned about this use, and advocates the use…

The field of exoplanet research is rapidly advancing through the development of new technology, observing techniques, and post-processing methods.

Supervisor: Gerard van Westen

Alternatives to current practice

Researchers of the Leiden Institute of Advanced Computer Science (LIACS) have started a 4 year project on developing a system that sends out automatic alerts when components from engines are showing first signs of fatigue.

An integrated approach for the simultaneous prediction of polypharmacology and binding affinity/potency of small molecules.

In this thesis we study products of linear error correcting codes.

Less than 1 in 10 drug candidates that enter phase 1 clinical trials actually gets approved for human use.

ASLU 14

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

A research agenda

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.

In this work, we attempt to answer the question:

This dissertation presents new cryptographic protocols, which can be divided into two families.

In this project, we use social network analysis to analyze the behavior of users in online forums and associated marketplaces over time.

Promotores: Prof.dr. M. Danhof, Prof.dr. D.R. Stanski

The thesis introduces three methods for high-dimensional prediction problems in the biomedical field. The methods make use of empirical and variational Bayes in the estimation.

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…

How to come to valid risk stratification of alcohol use disorder?

Research goal: To support the design of technologies (counter-measures and communication measures) for the prevention, interdiction and mitigation of lone actor extremist events (LOEEs), which are hard to anticipate, yet can be highly damaging to local and national communities and therefore must be…

He’s a fast and animated speaker, which is only logical because Gerard van Westen is driving an express train. His destination? A virtual human, consisting of algorithms that predict what an administered substance will do in the body. The train is already a long way down the line and the pharmaceutical…

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

Promotor: P.D. Grünwald

Promotor: J. van der Greef, T. Hankemeier; Co-promotor: H.A. van Wietmarschen

A new research line is the development of liquid biopsy fingerprints to predict early Alzheimer’s disease (AD) stage in human in readily accessible body fluids in human (in collaboration with: Dr. Geert-Jan Groeneveld, CHDR; Prof. Elga de Vries, Free University Medical Center; and others).

Science, Leiden Academic Centre for Drug Research (LACDR)

Honorata Mazepus and Jaroslaw Kantorowicz are assistant professors at the Institute of Security and Global Affairs. Mazepus and Kantorowicz are one of the authors of this article in Nature on the role of national identity on public health support during global pandemics.

PhD Defence

PhD Defence

If idioms employed in codes of conduct could be as idiosyncratic as examples suggest, then to what extent did early modern language of vice, too, persist in this genre?

The work of judges can also be done by AI systems. These systems can formulate an objective proposal for a ruling. But such proposal should always be checked by a judge, says Bart Custers.

Source: Nature Biotechnology, Volume 2014, Issue June (2014)

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

This thesis consists of five chapters on how to construct prediction sets for different types of data and models in a parametric or nonparametric Bayesian paradigm.

Source: J Cheminform, Volume 7, Issue 1 (2015)

Source: Nat Biotechnol, Volume 32, Issue 12, pp. 1213-22 (2014)

Prediction of human (CNS) target site concentrations in health and disease In the vision of Prof. de Lange we will only be able to predict human (central nervous system, CNS) target site concentrations and effects if we perform systematic, condition-dependent, integrative, and strictly quantitative…

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.

Can we tailor catalysts at the atomic scale by means of high-school chemistry and geometry rules?

PhD Defence

Clearance is the most important pharmacokinetic parameter for drug dose selection. Pharmacokinetic information is typically first available in the adult population, and in general only limited pharmacokinetic data are available in children when drugs enter into the market. It is therefore of the utmost…

The research of this PhD project can be subdivided into two main disease areas: migraine and stroke. For both we will be investigating how artificial intelligence (AI) and machine learning (ML) techniques can be used to study these afflictions, their (early) detection, and their potential treatment.

A novel mathematical model describes spatial-temporal drug distribution within one or more brain units, which are cubic representations of a piece of brain tissue with brain capillaries at the edges.

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.

Although many studies have addressed democracy in education around the world, so far research on democratic education in the context of communist society has been scarce. In the current study, we aim to clarify the concept of democratic value and its manifestation in Vietnam’s schools. In addition,…

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.