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Automate Curation and Publishing of
Personal Health Data Through Artificial Intelligence

Maastricht University

Maastricht University (UM) is the most international university in the Netherlands and, with over 22,000 students and more than 4,500 employees, is still growing. The university distinguishes itself with its innovative education model, international character and multidisciplinary approach to research and education. Today, it is considered one of the best young universities in the world.

The Institute of Data Science (IDS), a multi-disciplinary research unit in the Department of Advanced Computing Sciences (DACS), is committed to research in data science and artificial intelligence, collaborating across disciplines, institutions, and sectors. The goal of our research is to accelerate scientific discovery, improve clinical care and well-being, and to strengthen communities. We specialise in machine learning, decentralised applications related to biomedical data, as well as promoting the FAIR (findable, accessible, interoperable, and reusable) principles.

The Department of Precision Medicine is a disesase and discipline-agnostic department with international group of highly motivated researchers with unique skills under the direction of professor Philippe Lambin at the University of Maastricht.

The Department of Clinical Data Science research group is associated with Maastricht University, Maastricht University Medical Center and Maastro Clinic and focusses on building privacy-preserving clinical data infrastructures, learning artificial intelligence algorithms from data to predict cancer outcomes and building AI-based decision support systems for better cancer care.

Role within AIDAVA

With the involvement of 3 departments (Department of Advanced Computing Sciences, Precision Medicine and Clinical Data Sciences) UM is coordinating AIDAVA, while leading WP7 and WP2 and also contributing to all other Workpackages.

Main contacts

Photo of Michel Dumontier
Michel Dumontier

Coordinator of the AIDAVA project, Head of unit IDS

Photo of Remzi Celebi
Remzi Celebi

Deputy Coordinator of the AIDAVA project, Team Leader, WP2 and WP7 lead

Photo of Andre Dekker
Andre Dekker

Department head Clinical Data Sciences

Photo of Philippe Lambin
Philippe Lambin

Department head Precision Medicine

Photo of Petros Kalendralis
Petros Kalendralis

Clinical/technical coordinator for tasks 1.1, 2.1 and 4.3