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The focus area Applied Data Science welcomes a new Special Interest Group: Imaging.

Starting September 2020, this Master’s programme enables students to become a data scientist with excellent analytic capabilities.

The focus area Applied Data Science again provides funding to finance research projects within the SIGs of Applied Data Science.

There is much interest in the one-year master ADS, a collaboration of the Faculties of Geosciences, Humanities, Medicine, Science and Social and Behavioural Sciences.

Applied Data Science is a multidisciplinary profile, offered by the Department of Methodology and Statistics, for students who are not only interested in broadening their knowledge and expertise within the field of data science, but are also eager to apply these capabilities in relevant projects within their research domain.

Last year the focus area Applied Data Science organized workshops for data scientists working in the UMCU to tackle subjects which many of the data scientists in the UMC Utrecht encounter during their work and consist of both a theoretical and hands-on part.

The Cochrane meta-analysis module: open-science software targeting applied clinical research.

The 'Quality AI in Healthcare Guide' is unique and has been developed with predictive AI-driven algorithms in mind. The tool is now available for download.

Harmonization and segmentation of multicenter paediatric sarcoma MRI data through artificial intelligence to support clinical decision making in international trials.

There are currently no methods to predict where vertebral fractures will occur. If doctors know that, they could strengthen the vertebrae in question with, for example, bone cement. The aim of the PreVeCAIMM project is to predict where and when vertebral fractures will occur.

UtrechtInc supports researchers with ideas within these fields through validation programmes.

The potential impact of errors made by text mining tools on subsequent medical study results has received insufficient attention, and preconditions for responsible use of free text in such studies are absent.

Nine crossdisciplinary AI projects are funded by the alliance with the aim of fostering interdisciplinary collaborations among the four alliance partners and societal partners, to drive forward the development and application of AI to the benefit of society.

This collaborative EU project aims to strengthen the ecosystem surrounding digital health and AI innovation.

Dr. Kenneth Gilhuijs and colleagues and Dr. Kenneth Gilhuijs and colleagues have received funding from the Hanarth Foundation.

The new program brings data infrastructure and all artificial intelligence (AI) together: 3AI.

The aim of the ELSA Labs is to ensure that companies, governmental authorities, centres of expertise, civil society organisations and the general public develop responsible applications of AI jointly.

Data Science and Artificial Intelligence will soon become an integral part of our healthcare, research and education.

NextGen is a collaboration between 21 academic, clinical, technical, and commercial partners across Europe and the United States. NextGen aims to build novel and synergistic tools to enable portable multimodal, multiomic and clinically oriented research in high-impact areas of cardiovascular medicine.

AI and ADS researchers often need big datasets to test and apply their algorithms. Within the YOUth cohort study such a set is now available.