DDKI – Data-driven research at KI

Data-Driven research at KI is a university-wide initiative to promote data-driven research across the whole range of medical science and education practiced at KI. We define data-driven research broadly due to the use of large-scale and complex data, advanced analysis methods and extensive computational resources in the pursuit of addressing cutting-edge research questions.

27 May 2024

Mini-symposium: AI in Medicine

Learn about the latest AI developments in Medicine, presented by Swedish and international guest researchers. This event is a collaborative initiative between Karolinska Institutet, Umeå University and Research Institutes of Sweden (RISE)


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Shireen Sindi

Senior Research Specialist
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Adina Feldman

Scientific Coordinator
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Fang Fang

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Richard Rosenquist Brandell

Professor/Senior Physician

Gustaf Edgren

Principal Researcher