Universiteit Leiden

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Data Science Research Programme

Medicine

The Faculty of Medicine

LUMC is a modern university medical center for research, education and patient care with a high quality profile and a strong scientific orientation.

Its unique research practice, ranging from pure fundamental medical research to applied clinical research, places LUMC among the world top.This enables LUMC to offer patient care and education that is in line with the latest international insights and standards – and helps it to improve medicine and healthcare both internally and externally.

Data Science Research Projects

Mortality and HyperImage: Visual analytics techniques for biomarker discovery in massive 3D-omics datasets

Antonios Somarakis

Over the past decade, several novel types of spatially resolved "omics imaging" data have become available.

Study of utilisation of combined hormonal contraceptives in Europe 

Deeksha Khialani

The aim of the study is to assess whether the publication of the review by EMA and the legally binding decision to update the product information in January 2014, led to a change in CHC prescription patterns in Europe and, if so, if there was a subsequent change in the incidence rate of VTE.

Meta‐modelling: development of methods and tools for the exchange, analysis and communication of anonymised patient data

Shannon Kroes

This PhD project is funded by Sanquin, a non-profit organization, mostly known for collecting blood products from donors and supplying them to patients in the Netherlands.

The interpretation of physical activity wearable data and its relation with metabolic and brain health in older adults

Stylianos Paraschiakos

Although average human life expectancy has doubled in most developed countries in the last 200 years, 16-20% of life is spent in late-life disability and disease. Sedentary time has a particularly strong effect on mortality risk later in life. Older people spend, on average, almost 10 waking hours in an immobile posture. We wish to identify sedentary lifestyle and target its effects.

Data Science for State-of-the-Art Blood Banking (BloodStart)

Marieke Vinkenoog

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