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A deep learning algorithm to predict risk of pancreatic cancer from disease trajectories.
Placido D, Yuan B, Hjaltelin JX, Zheng C, Haue AD, Chmura PJ, Yuan C, Kim J, Umeton R, Antell G, Chowdhury A, Franz A, Brais L, Andrews E, Marks DS, Regev A, Ayandeh S, Brophy MT, Do NV, Kraft P, Wolpin BM, Rosenthal MH, Fillmore NR, Brunak S, Sander C. Placido D, et al. Among authors: brunak s. Nat Med. 2023 May;29(5):1113-1122. doi: 10.1038/s41591-023-02332-5. Epub 2023 May 8. Nat Med. 2023. PMID: 37156936 Free PMC article.
[Precision cardiology].
Haue AD, Vissing CR, Tfelt-Hansen J, Brunak S, Bundgaard H, Weeke PE. Haue AD, et al. Among authors: brunak s. Ugeskr Laeger. 2018 Oct 1;180(20A):V07180484. Ugeskr Laeger. 2018. PMID: 30274592 Free article. Danish.
Analyses of non-coding somatic drivers in 2,658 cancer whole genomes.
Rheinbay E, Nielsen MM, Abascal F, Wala JA, Shapira O, Tiao G, Hornshøj H, Hess JM, Juul RI, Lin Z, Feuerbach L, Sabarinathan R, Madsen T, Kim J, Mularoni L, Shuai S, Lanzós A, Herrmann C, Maruvka YE, Shen C, Amin SB, Bandopadhayay P, Bertl J, Boroevich KA, Busanovich J, Carlevaro-Fita J, Chakravarty D, Chan CWY, Craft D, Dhingra P, Diamanti K, Fonseca NA, Gonzalez-Perez A, Guo Q, Hamilton MP, Haradhvala NJ, Hong C, Isaev K, Johnson TA, Juul M, Kahles A, Kahraman A, Kim Y, Komorowski J, Kumar K, Kumar S, Lee D, Lehmann KV, Li Y, Liu EM, Lochovsky L, Park K, Pich O, Roberts ND, Saksena G, Schumacher SE, Sidiropoulos N, Sieverling L, Sinnott-Armstrong N, Stewart C, Tamborero D, Tubio JMC, Umer HM, Uusküla-Reimand L, Wadelius C, Wadi L, Yao X, Zhang CZ, Zhang J, Haber JE, Hobolth A, Imielinski M, Kellis M, Lawrence MS, von Mering C, Nakagawa H, Raphael BJ, Rubin MA, Sander C, Stein LD, Stuart JM, Tsunoda T, Wheeler DA, Johnson R, Reimand J, Gerstein M, Khurana E, Campbell PJ, López-Bigas N; PCAWG Drivers and Functional Interpretation Working Group; PCAWG Structural Variation Working Group; Weischenfeldt J, Beroukhim R, Martincorena I, Pedersen JS, Getz G; PCAWG Consortium. Rheinbay E, et al. Nature. 2020 Feb;578(7793):102-111. doi: 10.1038/s41586-020-1965-x. Epub 2020 Feb 5. Nature. 2020. PMID: 32025015 Free PMC article.
Survival prediction in intensive-care units based on aggregation of long-term disease history and acute physiology: a retrospective study of the Danish National Patient Registry and electronic patient records.
Nielsen AB, Thorsen-Meyer HC, Belling K, Nielsen AP, Thomas CE, Chmura PJ, Lademann M, Moseley PL, Heimann M, Dybdahl L, Spangsege L, Hulsen P, Perner A, Brunak S. Nielsen AB, et al. Among authors: brunak s. Lancet Digit Health. 2019 Jun;1(2):e78-e89. doi: 10.1016/S2589-7500(19)30024-X. Epub 2019 May 23. Lancet Digit Health. 2019. PMID: 33323232 Free article.
Dynamic and explainable machine learning prediction of mortality in patients in the intensive care unit: a retrospective study of high-frequency data in electronic patient records.
Thorsen-Meyer HC, Nielsen AB, Nielsen AP, Kaas-Hansen BS, Toft P, Schierbeck J, Strøm T, Chmura PJ, Heimann M, Dybdahl L, Spangsege L, Hulsen P, Belling K, Brunak S, Perner A. Thorsen-Meyer HC, et al. Among authors: brunak s. Lancet Digit Health. 2020 Apr;2(4):e179-e191. doi: 10.1016/S2589-7500(20)30018-2. Epub 2020 Mar 12. Lancet Digit Health. 2020. PMID: 33328078 Free article.
Optimizing drug selection from a prescription trajectory of one patient.
Aguayo-Orozco A, Haue AD, Jørgensen IF, Westergaard D, Moseley PL, Mortensen LH, Brunak S. Aguayo-Orozco A, et al. Among authors: brunak s. NPJ Digit Med. 2021 Oct 20;4(1):150. doi: 10.1038/s41746-021-00522-4. NPJ Digit Med. 2021. PMID: 34671068 Free PMC article.
518 results