Doctors are expected to apply recent insights from research to improve patient care. This is one of the reasons for integrating research into medical education.

The ability to collect and interpret huge quantities of data has become indispensable to society and academia. Leiden University is a knowledge and expertise centre for data science that places the emphasis on interdisciplinary collaboration and innovation.

Adoptees in the Netherlands generally do not use more medication than their non-adopted peers.

The unit Health, Medical and Neuropsychology offers eduction and conducts research on related fields of Health, Medical and Neuropsychology.

Leiden University Medical Center or LUMC is the university hospital affiliated with Leiden University, of which it forms the medical faculty.

Health research, medical practice and consequently the whole population is increasingly affected by digitization, data science and AI.

Are you thinking about studying Health and Medical Psychology? Learn more and watch the videos.

If researchers make their data FAIR, computers can link large quantities of data and identify patterns, thus greatly accelerating the process of arriving at new insights. In Leiden, the birthplace of ‘FAIR data’, Professor Barend Mons explains the meaning of this term.

The Leiden University Medical Center (LUMC) is committed to improving healthcare and the health of individuals. The LUMC staff put this mission into practice on a daily basis with their leading research, cutting-edge teaching and optimal, innovative healthcare.

In the Leiden University Medical Centre (LUMC) we strive to improve health care and the health of people.

The ambition of the Medical Systems Biophysics and Bioengineering group led by Alireza Mashaghi is to develop and use physics and engineering concepts and tools for pathophysiology, diagnostics and therapy.

In the specialisation Health and Medical Psychology, part of the Master in Psychology, you will acquire knowledge on clinical and scientific topics in health promotion and disease prevention as well as practical training on clinical skills and behaviour change.

Sarah Giest and Annemarie Samuels, both Assistant Professors at Leiden University, researched the quality and coverage of the data being collected for policiymakers to be used, specifically pertaining to minority groups.

With the rise of information and communication technologies, large amounts of data are being generated and stored in databases. In order to get a better grip on these large amounts of data, serious efforts are being made to discover patterns and relations in the data with the help of new techniques.…

The majority of scientists, from archaeologists through to zoologists, collect huge volumes of data. Their massive databases contain large amounts of information which is difficult for humans to filter. With a solid grounding in statistics, we can develop algorithms for analysing and identifying patterns…

Health Data Science Leiden University

The Leiden University Medical Anthropology Network (LUMAN) brings medical anthropologists together with the aim of fostering interfaculty collaborations and creating common ground for working interdisciplinary on health-related themes in Leiden and beyond.

This project develops a scientific method to extract clinically relevant new information from patient forum websites that discuss patient experiences concerning e.g. medication, nutrition, co-morbidities, genetic factors etc.

Psycho-physiological studies for health and disease.

In which way and to which extent is integration articulated in concept maps and which factors affect the resulting concept maps? By which factors is the perceived usefulness of such concept maps affected?

In this research project characteristics of effective instructional development were identified that are appealing to medical teachers and relevant for medical education.

Through metabolism, biochemical processes give rise to the complexity of life. Acquired and inborn errors in metabolism underlie many diseases occurring in man. The challenge for present day medical biochemistry is to find, and integrate, pieces of information at molecular, cell and organismal level…

The majority of scientists, from archaeologists through to zoologists, collect enormous volumes of data. Their massive databases contain large amounts of information which is difficult for humans to filter. With a solid grounding in statistics and computer science, we can develop algorithms for analyzing…

How sustainable are open data infrastructures? Will the data we need in the future be available and usable? This project takes COVID-19 data/infrastructures as a case to study the sustainability and dynamics of open data infrastructures.

In this research line, the role pharmacological agents and neurochemcial processes play in behavior and cognition is examined with a particular focus on pain, placebo and nocebo effects and intensive care treatments.

Data reuse and big data: a taxonomy for personal data reuse.

By comparing individual health data with population data, doctors can provide personalized health advice and patients can learn from each other's experiences. Wessel Kraaij, professor of Applied Data Analytics shows how personal data can have predictive value.

Patients share valuable advice and experiences with their peers in online patient discussion groups.

This project investigates ethnographically how patients, their relatives, and healthcare professionals in the Netherlands make decisions about end-of-life care. We study the new dilemmas around what constitutes

Investigating epistemic and ethical practices in medical experimentation on humans in the colonial period in Southeast Asia.

The master’s programme Statistics & Data Science provides students with a thorough introduction to the general philosophy and methodology of statistical modelling and data analysis. The programme has two specialisations: Data Science and Statistical Science.

This dissertation focuses on developing new mathematical and statistical methods to properly represent time-varying covariates and model them within the context of time-to-event analysis.

The extensive use of electronic communication channels and other devices has opened new possibilities for collecting data on human behavior. This information is sometimes openly accessible, but largely part of administrative registration systems that are not open to the broader public. The data provides…

The Data-Driven Drug Discovery Network (D4N) is an initiative by researchers from Leiden University and collaborators to join efforts in applying and developing novel techniques from data science to drug discovery and related topics from bioinformatics.

Data Sets Department of Economics

Today, everybody and everything produces data. People produce large amounts of data in social networks and in commercial transactions. Medical, corporate, and government databases continue to grow. Sensors continue to get cheaper and are increasingly connected, creating an Internet of Things, and generating…

Promotor: J.N. Kok, Co-Promotor: A.J. Knobbe

Predictive maintenance (PdM) is a maintenance policy that uses the past, current, and prognosticated health condition of an asset to predict when timely maintenance should occur.

The change from a closed institution to an open living environment for patients with late stages of dementia will give the patients more freedom in their day-to-day life. The effect of this change on the patients’ mobility, activity and interaction with others will be assessed with sensor technology…

How can teachers be motivated by their students’ data in making stepwise changes to their teaching practices?

LACDR adheres to strict data management rules, with the aim to make our data findable, accessible, interoperable and re-usable. For this reason all LACDR PhD candidates are required to prepare a data management plan and to implement data management rules accordingly. All PhD candidates follow a data…

What consequences does Brexit have for the protection of personal data?

The project 'Data use, online consumer needs, business strategies and regulatory response' aims to explore and examine the factors that impact upon the efficacy of information disclosure duties pertaining to customer data use in online business.

The aim of this project is to develop accurate but interpretable ensemble learning methods for high-dimensional multi-domain data.

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

On 7 February 2019, Helena Ursic-Vrabec defended her thesis 'Uncontrollable: Data subject rights and the data- driven economy'. The doctoral research was supervised by Prof. dr. S. van der Hof.

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

Promotor: J.N. Kok, Co-promotor: W.A. Kosters

At Psychology Lab on Wheels, we take your privacy and the security of your personal data very seriously. We want to assure you that all the information collected during this study will be handled in accordance with the General Data Protection Regulation (GDPR).