Brunak Group is from 1 Jan 2025 part of Health Data Science & AI at University of Copenhagen, Head of Section: Søren Brunak at Dept of Public Health.

Copenhagen, Denmark
🎧 Hvordan kan #kunstigintelligens overskue komplekse sygdomsmønstre og skræddersy behandlinger? Og hvad er dilemmaerne og faldgruberne, hvis AI diagnosticerer? #VidenSkaber spørger prof. i sygdomssystembiologi Søren Brunak (@TheBrunakLab) og lektor i antropologi @AlexandraR50686
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Using biobank samples from Danish blood donors 18 #biomarkers were found to change prior to #diabetes diagnosis and 75 biomarkers had persistently different levels in individuals with incident diabetes. #diabetesresearch #ucph @UCPH_CPR @TheBrunakLab tinyurl.com/3caz6wvm 🔓
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Register now for the Nordic Conference on Future Health: Biobanks, Research, Innovation, Precision Medicine, 10-12 September 2024, in scenic Trondheim, Norway. Submit abstracts by 22 April. nordic-biobanks-precision-he… #NordicFutureHealth2024
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Read our newest paper investigating disease trajectories pre- and post- kidney transplantations in Transplatation Direct! We highlight the substantial disease burden pre-transplantation and the many complications that present post-transplantation. journals.lww.com/transplanta…
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Brunak Lab retweeted
🔍Seeking a Danish-speaking research data coordinator to champion secure #healthdata use, lead #researchdatamanagement efforts, and customize solutions for CPR needs. Know someone who are highly structured, driven, cooperative and fit the bill? 🚀 bit.ly/3ROVZyw
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The study analyzes 3M+ hospital admissions and clinically characterizes the patient population receiving those pairs. We bring unique insights into dosage tweaks & fresh perspectives on potential hidden drug interactions in polypharmacy scenarios.
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Dive into our extensive analysis of medication patterns ! @cristinalero @fhq750 @GianlucaMazzoni @D_Westergaard @kirstinebelling Jorge Biel, Robert Eriksson and Lisa Cantwell. @UCPH_CPR
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Getting ready for Day 2 of our Novo Nordisk Foundation Challenge Symposium in Copenhagen.
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New paper out on seasonal variation in laboratory data! Having completed a large-scale analysis of nearly 2 million hospital patients in Denmark, our approach has the potential to reduce over- and underdiagnosis in patient-physician relations. @UCPH_CPR cell.com/patterns/fulltext/S…
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The study identifies mortality-, age-, and sex-associated differences and highlights the need for seasonally modified reference intervals. Many thanks to my coauthors, especially Victorine Muse who curated and analysed this very large data set! #healthdata #bigdata #diagnosis
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Brunak Lab retweeted
Predicting who develops deadly #pancreaticcancer... 🖥️@TheBrunakLab together with @harvardmed have identified new #riskfactors by applying #deeplearning to medical history data from Denmark and the United States. bit.ly/439z9VY
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Vores studie i sporing af risikoen for bugspytkirtelkræft når langt omkring. Tak til @washingtonpost for at styrke den vigtige samtale om muligheden for bedre behandling ved tidlig opsporing. @UCPH_CPR @UCPH_Research #dkvid #sundpol
Research published in Nature Medicine in May suggests that AI screening of large groups of patients could make earlier diagnosis possible, which in turn could lead to earlier and more effective treatment of the disease. wapo.st/46dsL2r
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