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…

Machine Learning is becoming a more and more substantial technology for industry.

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

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

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.

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

On 17 December 2018, Dejian Kong defended his thesis 'Civil Liability for Damage caused by Global Navigation Satellite System'. The doctoral research was supervised by Prof. dr. P.M.J. Mendes de Leon.

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…

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…

Inactivating mutations in BRCA1 or BRCA2 genes predispose to several types of cancer.

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

ASLU 14

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.

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

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

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)

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

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

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)

Using the principles of Industrial Ecology in Environmental Policy making in two cases: transition to a hydrogen economy and chlorinated compounds.

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?

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.

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.

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,…

Can a newly developed, app-based, personalized maintenance program enhance the effectiveness of the exposure-based one-session-treatment for children with a specific phobia?

Heavy rainfall can cause streets to flood and basements and tunnels to overflow. Jan van Rijn investigated, together with Christiaan Lamers (formerly of Leiden University) and Ton Beenen (STOWA, RIONED), how data science can help to predict which areas are at greater risk of flooding. Van Rijn presented…

Seaweed, which is vital for marine life, is disappearing throughout the world at an alarming rate. Different currents and wave patterns can bring about recovery, but more research is needed. This is the conclusion of Achmad Adhitya. His PhD defence has a political edge because of his proposition and…

Promotores: Prof.dr. C.A.J. Knibbe, Prof.dr. M. Danhof, Prof.dr. K. Allegaert (Leuven)

Cláudio de Sá predicted the preferences of people using rankings. He adjusted ‘classical’ machine learning approaches, making them suitable for predicting preferences. His work can be applied in the prediction of election results. PhD defence on 16 December.

Promotor: Prof.dr. M. Danhof, Co-promotor: E.C.M. de Lange

The main objective of this thesis was to develop clinically relevant survival models for patients with high-grade soft tissue sarcoma of the extremities, in particular the development and validation of prediction models for use in clinical practice.

Peter Akkermans, Professor of Archaeology of the Middle East, cannot say for certain how much damage the destruction by IS has caused in Palmyra.

It is a stormy Sunday afternoon, with gusts of a whopping 110 kilometres per hour. Chemist Teun Sweere defies the enormous headwind on his city bike and wins the NK Headwind cycling after 22,5 minutes. A new highlight follows six months later: his PhD defence (14 June).