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. These type of data enable interrogation of biological systems in a highly multiplexed way providing a wealth of information about the internal state and environment of a cell. The high‐dimensionality, massive amount and nonlinear structure of such high‐dimensional data poses considerable challenges for analyzing and interpreting them. This project is focused on the development of novel visual analytics techniques to overcome these analysis challenges. Eventually, the visual analytics technologies developed in this project will open up the full biomarker discovery potential of “omics imaging” data.

Obesity-related diseases and mortality 

Deeksha Khialani

The primary aim of the project will be to analyse the vast Netherlands Epidemiology of Obesity (NEO) database, a unique, large, and valuable data source to study the many pathways that may lead to obesity-related diseases. It includes data from many participants, many different sources of clinical information, and a vast amount of clinical endpoints. Further, the secondary goal is to link the data to external databases to unravel the pathophysiology of obesity related diseases.

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 project is a collboration 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 will be constructed to evaluate both the level of privacy and the extent to which an anonymized set can capture the information of the original dataset. Subsequently, tools will be developed to anonymize patient data, while preserving the structure and information of these data.

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