Conferences and symposiums Data-Driven Research at KI (DDKI) Symposium

01-06-2023 1:00 pm - 5:00 pm Add to iCal
Campus Solna Berzelius väg 3, Andreas Vesalius lecture hall

Welcome to the 2nd DDKI Scientific symposium which includes:
• Showcase of DDKI research at KI
• Panel discussion
• Mingle and networking


Time Speaker(s) Topic
13:00-13:10 Adina Feldman & Shireen Sindi Welcome and Opening remarks
13:10-13:30 Gustaf Edgren Using big data to improve transfusion safety
13:30-13:45 Nick Tobin Clinically relevant gene signatures in older breast cancer patients
13:45-14:00 Shuyang Yao Using data-driven approach to highlight cell types and brain regions in psychiatric disorders
14:00-14:30 Fika
14:30-14:45 Rui Mameda Branca Identification of non-canonical neoantigens in murine tumors by shotgun proteo(geno)mics
14:45-15:00 Marcel Tarbier Computational inference reveals cancer lineages and identifies early markers of tumor invasion
15:00-15:20 Fredrik Strand ScreenTrustMRI for breast cancer: Curating data, training AI algorithms, and performing a RCT to translate into clinical use
15:20-15:30 Short break
15:30-15:50 Sara Hägg Leveraging large-scale data to study human biological aging
15:50-16:20 Panel discussion
16:20-17:00 Mingle
Data science
Photo: GettyImages.

About the DDKI

Data-Driven Research at KI (DDKI) is a university-wide initiative to promote data-driven research across the whole range of medical science and education 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.


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Shireen Sindi

Coordinator for Data-Driven Research at KI (DDKI)