HDSAI - Health Data Science & AI, University of Copenhagen

@hdsai.sund.ku.dk

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We work to understand pandemics, predict disease and expand and teach next generation health data science at Uni of Copenhagen! 🧠🙋 We are > 70 staff 🔊 we post in 🇩🇰 🇮🇪 📨 HDSAI@sund.ku.dk 📊 Add us to #Science Starter Packs

The picture shows a class with 50 people across 4 rows of chairs of people listening intently to a talk.
A yellow sun paints the morning sky orange as the pale light strokes the icy Copenhagen rooftops on a cold, Monday morning. The lakes in the middle of the city are still frozen and the hazy freezing morning air breathes its own light.
Finally, our breast cancer risk prediction paper has been published! Breast cancer screening tailored to a woman’s individual risk seems beneficial both for each woman and at the societal level — but only if we can measure that risk accurately. In this study, we used the BOADICEA breast cancer risk prediction model, which combines age, genetics, family history, lifestyle/hormonal factors, and mammographic density, and applied it to 50,000 Danish women. Overall, the predictions were well calibrated and provided valid risk estimates. Thank you to all coauthors for your great and valuable contributions. A special thanks to Rikke Louise Jacobsen, Timo Röder, Antonis Antoniou, and to the supervisors Søren Brunak and Stig E Bojesen, whose guidance and leadership were invaluable. #BreastCancer #BreastCancerResearch #RiskPrediction #BOADICEA #DanishBloodDonorStudy
DIN HISTORIE ER NØGLEN TIL DIT HELBRED. Samtale i Fiolstrædebiblioteket om Sundhedsdata, om AI og hvad vi kan vide om vores fremtid ved at studere vores fortid.
A poster advertising for AI Opportunities in Nordic Healthcare at Jerne Auditorium at Panum on 2 June 2025
View from Copenhagen University Faculty of Health and Medical Sciences.