To what extent does human intervention influence the world’s biodiversity? And can we predict how biodiversity and ecosystems will change in the coming years? Inaugural lecture by Peter van Bodegom, Professor of Conservation Biology, on 8 May.

Stars orbit black holes while jumping up and down. This is the prediction of a theoretical model developed by Leiden physicist Satish Kumar Saravanan, based on Einstein’s theory of relativity. He defends his PhD thesis on July 7th.

Do medicines arrive in the right amount at the right spot in our brain? By making a model that depicts our brain in small 'brain blocks', Esmée Vendel tries to find an answer to this question. Her new, mathematical model predicts the concentration of medicines in the brain over time and space. Vendel…

Scientists in Leiden are looking for signals in blood samples to predict whether patients will develop serious COVID-19 symptoms or not. Based on that knowledge, they will be able to propose targeted therapies to prevent serious symptoms. They hope to come up with the first results within the week.

The standard approach to build a quantum computer with Majoranas as building blocks is to convert them into qubits. However, a promising application of quantum computing—quantum chemistry—would require these qubits to be converted again into so-called fermions. Physicists from Leiden and Delft suggest…

A new app provides dynamic predictions of survival for patients suffering from soft tissue sarcoma. It was developed by the mathematical Institute research group DASPO, Data Analysis and Survival for Personalised Oncology.

If you know a crime is about to occur, should you be able to prevent it before it has even happened? This was one of the questions that was posed in light of predictive policing as a form of mass surveillance during the debate in the elective Governance of Crime and Social Disorder class of the Crisis…

How is it that some covid-19 patients are affected much worse than others? Can we predict beforehand which of them will develop critical symptoms Professor Thomas Hankemeier, together with a diverse consortium of universities, academic hospitals and industrial partners, is looking for the answers to…

Physicists propose the existence of sterile neutrinos that would explain three big mysteries in nature. To actually find them in particle accelerators, researchers need to know how they are produced and how they decay. PhD candidate Kyrylo Bondarenko has made predictions about this, which are currently…

Environmental researcher Martina Vijver is over the moon with her ERC Consolidator Grant. This prestigious grant is recognition, she says, of the study of the behaviour and possible toxicity of new nanomaterials in ecosystems.

Inaugural Lecture

Promotores: J.C. van Houwelingen, S.A. van de Geer

As part of the career orientation of the Master’s Vitality and Ageing, students visit various healthcare, policy and research organisations throughout the year. Students get introduced to relevant organisations where they have the possibility for a graduation internship and career opportunities. This…

PhD Defence

The project Deconstructing Stability aims to improve reconstructions of late prehistoric landscapes and predictive models for the purpose of archaeological heritage management.

PhD Defence

PhD Defence

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

Lecture

PhD Defence

Lecture

Lecture

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.

The SAPPAO project aims to optimise the accuracy and reliability of predicting scheduled flight times. The full name of the project is 'A Systems Approach towards Data Mining and Prediction in Airlines Operations'.

Which traits and/or trade-offs determine benefits of being deciduous or evergreen?

Adverse drug reactions (ADRs) remain one of the major reasons for patient mortality and (early) drug withdrawal. Currently, different in vivo and in vitro models are used to assess the toxic potential of drugs in the pre-clinical phase. Unfortunately, the predictive value of this model does not fit…

An overview of research projects at the Predictive Pharmacology group.

Source: PLoS ONE, Volume 10, Issue 3 (2015)

Why is the swimming efficiency of the European eel higher than predicted?

Is is possible to better predict the validity of drug candidates?

Promotores: Prof.dr. J. Kuiper, Prof.dr. P.H.A. Quax

Promotoren: R. Tijdeman, A.K. Lenstra, Co-promotor: H.J.J. te Riele

Promotores: S.F. Portegies Zwart, E. M. Rossi

Source: Structure , Volume 22, Issue 8, pp. 1120-1139 (2014)

Growth and development affect the metabolism of drugs administered to neonates, infants, and children.

Key publications of the Predictive Pharmacology group.

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

Lecture

PhD Defence

PhD Defence

Another research line is the development of a spatial CNS drug distribution model, by ultimately including the 3-dimensional anatomical organization of the CNS.

This longitudinal study is focused on neurodevelopmental problems in young children with XXY, XXX and XYY, aged 1 to 6 years.

Key publications of the Quantitative Pharmacology group

PhD Defence

From descriptive to physiological models that can predict oral absorption and elimination of CYP3A substrates across the pediatric age range.