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.
Upcoming events
Event title: Infectious Disease Epidemiology: Surveillance, Forecasting, and Modelling symposium (organized by the Data-driven Epidemiology and Biology of Infection research area). An inspiring Lunch-to-Lunch meeting filled with cutting-edge science, networking, and discussions.
Register here before 15 April 2025
Event website
Date: 5–6 May 2025
Venue: Stockholm University, room PÄRLAN – Albano – Hus 1 / Plan 6
Call for Abstracts – Contribute to the Program
We encourage you to submit an abstract for a poster session or a 5-minute Flash Talk. This is an excellent opportunity to share your research, gain feedback, and connect with fellow scientists.
Event Title: AI In Precision Medicine: latest development and future directions
Date: 26 May, 2025
Location: HS Auditorium, Faculty of Health and Society, Malmö University, Jan Waldenströms gata 25, Malmö
Register here before 24 May 2025
Please also check:
Funding calls
This call is part of the PALS initiative, supported by the Knut and Alice Wallenberg Foundation.
Apply here, application deadline: Sep 1, 2025 - 12:00 CET
Courses and external events
Courses:
- Applications of Machine Learning in Medicine Program (online, self-paced), Stanford School of Medicine, Stanford Center for Health Education
- Artificial Intelligence in Healthcare (online, self-paced), Stanford School of Medicine, Stanford Center for Health Education
- Evaluations of AI Applications in Healthcare (online, self-paced), Stanford School of Medicine, Stanford Center for Health Education
- AI in Healthcare Specialization (online, self-paced, 5-course series), Stanford School of Medicine, Stanford Center for Health Education
- Oxford Artificial Intelligence Programme (online, self-paced), Oxford University
- AI in Clinical Medicine (online live: 7-8 November 2024), Harvard University
- AI in Medicine Certificate (online, self-paced), University of Illinois Urbana-Champaign
- AI for Healthcare (online, live), Yong Loo Lin School of Medicine, Singapore, start date: 30.09.2024
- AI in Healthcare (Self-Paced with Live Instruction, 4-days), John Hopkins
- AI and digital transformation in healthcare (1 week course. 21-27 July 2024), University of Cambridge - Institute of Continuing Education, application deadline (23 June 2024)
- Artificial Intelligence in Healthcare (online), University of Central Lancashire; start date: September, January and May; duration 4 months
- Foundations of AI in Healthcare (online), The University of Melbourne
- AI in Medicine - Medical Imaging (In-person and virtually), University of Toronto, start date: 9 October 2024, running for 6 weeks
Other events:
- EITCA/AI ARTIFICIAL INTELLIGENCE ACADEMY (online), European Information Technologies Certification Academy, see the programme
- European Information Technologies Certification Institute
- Postgraduate Certificate: AI in Medicine (online), University of South Wales, application deadline: 7 March 2025
- Master's degree: Master’s Program in AI for Health (application period: (mid-October to mid-January), Stockholm University
- Master's Program: MSc Artificial Intelligence (AI) for Medicine & Medical Research, UCD Dublin - School of Medicine
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 - Ujjwal Neogi
- 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