Brunak Lab

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Brunak Lab

Brunak Lab

@TheBrunakLab

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 Присоединился Haziran 2016
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Isabella Friis
Isabella Friis@FriisIsabella·
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/transplantatio…
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Brunak Lab ретвитнул
CPRatUCPH
CPRatUCPH@UCPH_CPR·
🔍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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Brunak Lab
Brunak Lab@TheBrunakLab·
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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Brunak Lab
Brunak Lab@TheBrunakLab·
Getting ready for Day 2 of our Novo Nordisk Foundation Challenge Symposium in Copenhagen.
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Brunak Lab
Brunak Lab@TheBrunakLab·
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
Brunak Lab@TheBrunakLab·
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/fullt…
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Brunak Lab
Brunak Lab@TheBrunakLab·
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
The Washington Post@washingtonpost

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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