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

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

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

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

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.

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.

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.

Psycho-physiological studies for health and disease.

Lecture

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…

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

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?

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.

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

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.

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.

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

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…

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.

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 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…

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

Data Sets Department of Economics

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.

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…

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…

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.

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

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…

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

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.…

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.

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

Health Data Science Leiden University

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.

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).

Data management is crucial for the success of research projects.

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.

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

As a PhD candidate, you probably work with personal data. That’s not just names and telephone numbers – it can also include things like cookies. To keep (personal) data as secure as possible, the university has established an information security policy.

The Explainatory Data Analysis group develops algorithms and theory that enable domain experts to explain data by finding interpretable patterns and models.

Why should you publish your data? ... and how?

Data Science (DS) and Artificial Intelligence (AI) are omni-present and have the potential to be incorporated in various fields. However, in order to live up to this expectation, a good understanding of the techniques, their implications and limitations is required. In this minor you develop insights…

Collecting data in sports increased in importance the last few years.