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Studying Pathways in Health and Disease

The bioinformatics expert practice focuses on translational medicine, which merges interdisciplinary data, resources, and expertise. This field combines molecular biology techniques with proficiency in computer science, information engineering, mathematics, and statistics to facilitate the diagnosis of complex patient cases. Our focus includes diagnostics and innovations in personalised healthcare, catering to congenital malformations and cancer patients. Additionally, we delve into how hereditary information encoded in our DNA shapes the evolution, development, structure, and function of the human brain and face.


Prof. Dr. Peter van der Spek

Professor of Bioinformatics at EMC & Expert Practice Director of Bioinformatics

Deepcell’s REM-I platform

With the arrival of the Deepcell REM-I platform, Erasmus MC brought a technology to Rotterdam that enables fundamental and clinical researchers to explore cellular intricacies using a data-driven approach. This platform revolutionises our ability to understand cell structure and morphology in both health and disease. Impressively, the REM-I platform can differentiate between naïve and activated T cells, a feat that often eludes pathologists. Powered by AI, this platform detects subyle swellings within cell organelles in activated cells.

During the pilot and testing phases, Erasmus MC collaborates with Deepcell to refine the platform’s technological features. This collaboration signifies our commitment to optimising personalised healthcare boundaries and reinforcing Rotterdam’s status as a trailblazer in the medical technology sector. By using this cutting-edge technology within our research facilities and partnering closely with ECDA, our researchers gain access to a wealth of high-dimensional data, creating opportunities to make a significant impact and meaningful contributions to Rotterdam’s thriving entrepreneurial community.

Smart support platform for pandemic prediction and management

The goal of the EU-funded STAMINA project is to develop an intelligent decision support platform for pandemic prediction and management. The project will enable national agencies and first responders to anticipate pandemic threats and plan daily efforts to enhance health security. The objectives of the project include the creation of real-time web and social media analytics for the detection of possible disease outbreaks, predictive modelling of pandemic outbreaks and early warning systems. The crisis management part will define the roles of key actors during crisis management and include protection and diagnostic devices for first-line screening. Finally, STAMINA will develop a common operational picture as the main interface that enables coordinated response and demonstrate its application within and across EU borders.

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