The UMCG website shows YouTube videos. YouTube places cookies if you watch them. Choose ‘Rather not’ if you do not want these cookies. We also place cookies of our own. These help us improve the usability of our website.
Data-driven innovation has the potential to transform health and care, but there is a lack of evidence-based applications. At DASH we offer knowledge, community and project development activities to support data-driven innovation in prevention and care.
Our activities and facilities are state of the art, have a strong regional base and an international scope. We offer synergetic support to research, education and implementation in the field of data science, Artificial Intelligence (AI) and eHealth, integrating these activities into the DNA of the UMCG. DASH facilitates projects from fundamental research to implementation in clinical practice and can help you deal with ethical, legal, and social aspects (ELSA) that you may face when performing innovative data-intensive research. We are the experts in population- and patient-based cohort data and can help you link datasets, develop and implement advanced methods of data analysis, come up with next-level IT solutions, and find partners.
At DASH we work with four strategic lines, linked to DASH experts: Esther Metting in eHealth, Job Doornberg in the clinical implementation of AI, Rozemarijn Vliegenthart in clinical cohort data and Peter van Ooijen in machine learning.
DASH often collaborates with other relevant parties and participates in partnerships. A number of them are listed below.
The AI Think Tank aims to put forward solicited and unsolicited ideas and give advice to the Data Science Center in Health (DASH) about the policy for and application of AI in research and clinical settings. For more information about the AI Think Tank and its members, please visit Think Tank
Our Machine Learning Lab (MLL) provides researchers with support in the field of machine learning and community building within the UMCG. An MLL board has been appointed to set long-term goals and strategies for the community. It coordinates and monitors key activities, allocates resources and decides on further direction. More information about the board and its members can be found here.
AiMED is a student-led organisation aimed at raising awareness of data science, machine learning and AI in medicine. To this end, a platform has been established that offers medical students, researchers and professionals access to education and to opportunities in the field of data science and AI in the UMCG and beyond.
The implementation of UMCG's Healthy Ageing spearhead is increasingly dependent on the development of personalised medicine and the integration of large sets of complex health data. To meet this challenge, AiMED wants to provide current and future medical professionals with the relevant tools to use AI and data science in daily clinical practice and in innovative research that directly benefits patients.
Would you like to discuss potential collaborative opportunities? Please send an email to AiMED.
Once a year, you can apply for a DASH project and get dedicated support from the DASH team with getting your research project started. DASH projects are open to UMCG researchers working in clinical and preclinical UMCG departments who perform promising research that involves challenges regarding big or complex data, research IT, or data science. The two winning projects will receive support from DASH employees in the form of man-hours and/or a financial contribution for special support or resources.
Our Machine Learning Lab (MLL) offers researchers support in the field of machine learning and community building within the UMCG. We have set up an online community where knowledge can be shared and we organise biweekly meetings where PhD students, postdocs and staff discuss technical matters in the field of machine learning. The MLL participates in various research projects both within and outside the UMCG and has its own dedicated PhD projects. The MLL also organises guidance meetings with clinicians to facilitate their machine learning projects.
We connect the data science, AI and eHealth communities by organising, for example, Machine Learning Lab and AI Think Thank meetings and monthly DASH events and/or webinars. The webinars feature speakers who share their knowledge and experience of data science in healthcare. Furthermore, members of the DASH team regularly take part in panel discussions, relevant events, workshops and presentations both within and outside the UMCG.
We register the needs, challenges, bottlenecks, and other input that are related to data science indicated by researchers, to offer the right solutions and improve the quality of research projects in the field of data science, AI, machine learning and eHealth. DASH is also actively involved in shaping the UMCG's vision with regard to AI and eHealth.
We offer advice about funding and about how to obtain grants for data science, AI, and machine learning projects.
We participate in various outreach activities, including articles published in newspapers, trade journals and on websites. Furthermore, we share news about relevant events, publications, and developments via our social media channels and monthly DASH updates. Would you like to be informed of the latest data science news? Sign up for our newsletter.
We help you start pilot projects together with public and/or private partners, and in close collaboration with the Center for Development and Innovation (CDI).
Every month we send out DASH updates, keeping subscribers informed of the latest news in data science, eHealth, machine learning and Artificial Intelligence (AI). Would you like to receive our newsletter? Register here.
University Medical Center Groningen (UMCG)
Data Science Center in Health (DASH)
PO Box 30.001 (in-house postcode LA 19)
9700 RB Groningen
Entrance 43 UMCG
8th floor of facilities building 'de Brug'
9713 GZ Groningen