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)
Contact
Shireen Sindi
Senior Research SpecialistAdina Feldman
Scientific CoordinatorDDKI reference group
- Bionut - Carsten Daub
- CMB - Rickard Sandberg
- CNS - Klementy Shchetynsky
- Clinical Science and Education, Södersjukhuset - Thomas Olsson, thomas.a.olsson@regionstockholm.se
- CLINTEC - Fernando Seoane Martinez
- Clinical Sciences, Danderyd Hospital - Martin Magnéli
- DENTMED - Georgios Belibasakis, Ronaldo Lira Júnior
- GPH - Nicola Orsini
- LABMED - vacant
- LIME - Carl Savage, Sabine Koch
- MBB - Jens Hjerling-Leffler, Eneritz Agirre
- MEB - Mark Clements, Sanela Kjellqvist
- MedH - Martin Cornillet
- MedS - Eduardo Villablanca, Pontus Naucler
- MTC - Oscar Bedoya Reina, Benjamin Murrell
- MMK - David Marlevi, Neda Rajamand Ekberg, Fatemah Rezayee
- NVS - Linus Jönsson, Axel Carlsson
- Neuro - Federico Iovino, Jan Mulder
- OnkPat - Linda Lindström, Martin Enge
- FyFa - Max Bell, Volker Lauschke
- KBH - Erdinc Sezgin, Andrea Merker
- IMM - Donghao Lu, Maria Feychting