The e-Science research group of the AMC is interested in new methodologies for large-scale biomedical data analysis.

In the past special attention has been devoted to Science Gateways, which provide services for data processing, management and collaboration. Various concepts and technologies have been adopted in the research, design and development of science gateways, including workflow management, distributed computing, data and provenance management. The science gateways built as result of our research have been that can be used by biomedical researchers at the AMC and collaborating organisations. See more here.

Currently our research is focused in the analysis and management of (big) data in biomedical research applications, in particular text mining to facilitate systematic results and machine learning for medical image analysis and prediction modelling.

The group has also been involved in various Research Data Management initiatives and projects at the AMC and in The Netherlands.

See our publications.

Our research has been funded by the following projects and organizations:

  • SAFECARE: SAFEguard of Critical heAlth infrastructure, H2020
  • MEDOLUTION: Medical care evolution, ITEA 3 Call 1
  • AMC Innovation Fund
  • HPCN UvA: High-Performance and Networking Fund of the University of Amsterdam
  • SURF Foundation (Dutch national e-infrastructure)
  • MEDUSA,  Medical Distributed Utilization of Services & Applications, ITEA 2 Call 5
  • COMMIT program, Front-end for biomedical data analysis on e-infrastructures
  • ER-flow: Building an European Research Community through Interoperable Workflows and Data, supported by a grant from the European Commission FP7 INFRASTRUCTURES-2012-1 
  • SCI-BUSSCIentific gateway Based User Support, FP7 INFRASTRUCTURES-2011-2
  • SHIWA: SHaring Interoperable Workflows for large-scale scientific simulations on Available DCIs, European Commission FP7 INFRASTRUCTURES-2010-2