The e-Science research group of the AMC is interested in new methodologies for large-scale biomedical data analysis.
In the past decade, our research has focused in the analysis of (big) data in biomedical research applications, in particular text mining to facilitate systematic results and machine learning applied to medical image analysis and prediction modelling.
More recently, we are focusing in cybersecurity, in particular how to protect data as means to create trust and increase medical data availability for healthcare. See one example of our most recent work addressing the needs for patient data sharing during acute care.
Finally, in the now far past, we researched 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 used by biomedical researchers at the AMC and collaborating organisations. See more here.
The group has also been involved in various Research Data Management initiatives and projects at the AMC and in The Netherlands.
See our publications and our github repository.
Our research has been funded by the following projects and organizations:, ITEA, 2022-2024
- Secure-e-Health: Privacy-preserving cross-organizational data analysis in the healthcare sector
- ASCLEPIOS: Advanced Secure Cloud Encrypted Platform For Internationally Orchestrated Solutions In Healthcare, H2020, 2019-2022
- SAFECARE: SAFEguard of Critical heAlth infrastructure, H2020, 2019-2022
- MEDOLUTION: Medical care evolution, ITEA 3 Call 1
- FAIR research data managementL: AMC Innovation Fund
- Science gateways: 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-BUS: SCIentific 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