Prof. Andrea Evers is a health psychologist who studies the role of behavioural factors in health and disease. As a Medical Delta Professor, she is now affiliated with Leiden University, TU Delft and Erasmus University. In that position, she conducts research at the intersection of various disciplines.…

By analysing the metabolism using big data techniques, we can identify health risks at an earlier stage. Thomas Hankemeier, professor of Analytical Biosciences at the Leiden Academic Centre for Drug Research, explains how that works.

Due to the modern techniques of combinatorial chemistry and high-throughput screening, data on the biological activity of many millions of compounds is known. However, it is still very difficult to transfer this data into knowledge: if we know that compounds A and B bind to a certain protein with high…

On 23 April, Andreas Häuselmann defended the thesis 'EU privacy and data protection law applied to AI: unveiling the legal problems for individuals'. The doctoral research was supervised by Gerrit-Jan Zwenne and Bart Custers.

This monograph focuses on clustering of objects in high-dimensional data, given the restriction that the objects do not cluster on all the attributes, not even on a single subset of attributes, but often on different subsets of attributes in the data.

This thesis focuses on data found in the field of computational drug discovery. New insight can be obtained by applying machine learning in various ways and in a variety of domains. Two studies delved into the application of proteochemometrics (PCM), a machine learning technique that can be used to…

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

To what extent is it possible to utilise traditional and new media data to examine and understand the nature and scope of homicide in Indonesia?

Promotor: Prof.dr. B.R. Katzy, Co-promotor: R. Ortt

The deeper understanding of an organism's pathology is important for developing treatments. Over centuries of systematic research, clinical researchers have demonstrated that the more information they acquire about the cellular properties and their organisation in the tissue, the better they can understand…

Generally the data from remote sensing surveys - the scanning of the earth by satellite or aircraft in order to obtain information about it - is screened manually in archaeology. However, constant monitoring of the earth's surface causes a huge influx of data of high complexity and high quality. To…

This project aims to develop advanced data analysis methods for monitoring and increasing our understanding on biodiversity dynamics in nature reserves such as the Oostvaardersplassen.

Premature babies almost always require treatment with medication. Doctors usually determine the dosages based on data from children who were not born prematurely, while preterm infants often develop differently. Medication researcher Aline Engbers investigated three commonly used drugs, focusing on…

This project’s aim is to critically assess current homicide data sources in order to develop a proposal for long-term EU-level monitoring of DRH.

Tremendous amounts of data are generated in scientific research each day. Most of this data has more potential than we are using now, says Katy Wolstencroft, assistant professor in bioinformatics and computer science. We just need to integrate and manage it better.

The RISIS project aims at creating a distributed research infrastructure to support and advance science and innovation studies. This will give the field a strong scientific push forward, and at the same time, provide a radically improved evidence base for research and innovation policies, for research…

This open access book brings together an eclectic cast of scholars in related disciplines to examine ageing in the Soviet Union, covering the practice of geriatrics, the science of gerontology, and the experience of growing old. Chapters in the book focus on concepts and themes that analyse Soviet ageing…

Promotor: J.M. van den Broek Co-promotor: M.C. de Vries

Sport Data Center

Promotor: A.P.IJzerman Co-promotor: A. Bender

This project is a collaboration between Sanquin, LUMC and LIACS. It focuses on the development of meta-modelling methods and tools for the exchange, analysis, and publication of anonymised patient data. Measures are being constructed to evaluate both the level of privacy and the extent to which an anonymized…

While bioinformatics methods deal with the analysis of sequence information (be it proteins or DNA), the field of cheminformatics is concerned with the analysis of small-molecule datasets.

This project aims to improve understanding of, and responses to, the phenomenon of lone actors through analysis of comprehensive data on cases from across Europe.

The LIACS Media Lab has received a research grant from the worldwide leading graphics hardware company NVIDIA. The grant exists of newly developed hardware utilizing thousands of processors. LIACS researchers will use it to investigate deep learning in understanding imagery from sources such as MRI…

Seven new Medical Delta professors revealed their research plans in a lecture marathon on 21 June. The professors at Leiden University, the LUMC, Delft University of Technology and the Erasmus Medical Centre Rotterdam operate at the interface between life sciences and health and technology.

Leiden University Libraries (UBL) has been able to acquire four remarkable medical manuscripts partly thanks to support from the Friends of Leiden University Libraries, the Pieter van Foreest Stichting and the Van de Sande Fonds. All four are largely written in Dutch and can be dated between 1595 and…

Data science offers exciting new instruments for governments to reach out to citizens, for example by using data-driven information channels, providing real-time simulations, or personalizing services based on citizen data. At the same time, the possibilities and use of data science methods can have…

Time-series forecasting through modelling sequences of temporally dependent observations has many industrial and scientific applications. While machine learning models have been widely used to create time-series forecasting models, creating efficient and performant time-series forecasting models is…

This study seeks to partially fill the knowledge gap about national culture in Africa, basing its research on data on ethnolinguistic groups (instead of administrative regions).

The marine shipping industry is one of the strongest emitters of nitrogen oxides (NOx), a pollutant detrimental to ecology and human health. Over the last 20 years, the pollution produced by power plants, the industry sector, and cars has been decreasing.

The goal is to establish an intuitive search and querying service that allows researchers to quickly retrieve the most valuable digital resources, in order to allow them to integrate and synthesise the results into a coherent narrative of the past. The current focus of the project is to implement…

Comparing individual health data with group data allows doctors to give personalised advice and patients to learn from one another's experiences. Wessel Kraaij, Professor of Applied Data Analytics, shows how personal data can have a valuable predictive function. Inaugural lecture 24 February.

Latest technological developments in data mining and profiling.

PhD research recently completed by pharmacologist Margreke Brill shows that morbidly obese patients should be given a different dosage of the drugs Cefazolin and Midazolam. This could also apply to other drugs such as anti-cancer drugs as well as antibiotics and Margreke Brill is advocating a change…