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1972 1
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34 results

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Page 1
Discovery of drug-omics associations in type 2 diabetes with generative deep-learning models.
Allesøe RL, Lundgaard AT, Hernández Medina R, Aguayo-Orozco A, Johansen J, Nissen JN, Brorsson C, Mazzoni G, Niu L, Biel JH, Leal Rodríguez C, Brasas V, Webel H, Benros ME, Pedersen AG, Chmura PJ, Jacobsen UP, Mari A, Koivula R, Mahajan A, Vinuela A, Tajes JF, Sharma S, Haid M, Hong MG, Musholt PB, De Masi F, Vogt J, Pedersen HK, Gudmundsdottir V, Jones A, Kennedy G, Bell J, Thomas EL, Frost G, Thomsen H, Hansen E, Hansen TH, Vestergaard H, Muilwijk M, Blom MT, 't Hart LM, Pattou F, Raverdy V, Brage S, Kokkola T, Heggie A, McEvoy D, Mourby M, Kaye J, Hattersley A, McDonald T, Ridderstråle M, Walker M, Forgie I, Giordano GN, Pavo I, Ruetten H, Pedersen O, Hansen T, Dermitzakis E, Franks PW, Schwenk JM, Adamski J, McCarthy MI, Pearson E, Banasik K, Rasmussen S, Brunak S; IMI DIRECT Consortium. Allesøe RL, et al. Nat Biotechnol. 2023 Mar;41(3):399-408. doi: 10.1038/s41587-022-01520-x. Epub 2023 Jan 2. Nat Biotechnol. 2023. PMID: 36593394 Free PMC article.
A reference map of potential determinants for the human serum metabolome.
Bar N, Korem T, Weissbrod O, Zeevi D, Rothschild D, Leviatan S, Kosower N, Lotan-Pompan M, Weinberger A, Le Roy CI, Menni C, Visconti A, Falchi M, Spector TD; IMI DIRECT consortium; Adamski J, Franks PW, Pedersen O, Segal E. Bar N, et al. Nature. 2020 Dec;588(7836):135-140. doi: 10.1038/s41586-020-2896-2. Epub 2020 Nov 11. Nature. 2020. PMID: 33177712 Clinical Trial.
Pharmacogenomics of GLP-1 receptor agonists: a genome-wide analysis of observational data and large randomised controlled trials.
Dawed AY, Mari A, Brown A, McDonald TJ, Li L, Wang S, Hong MG, Sharma S, Robertson NR, Mahajan A, Wang X, Walker M, Gough S, Hart LM', Zhou K, Forgie I, Ruetten H, Pavo I, Bhatnagar P, Jones AG, Pearson ER; DIRECT consortium. Dawed AY, et al. Lancet Diabetes Endocrinol. 2023 Jan;11(1):33-41. doi: 10.1016/S2213-8587(22)00340-0. Lancet Diabetes Endocrinol. 2023. PMID: 36528349 Free article.
Genetic analysis of blood molecular phenotypes reveals common properties in the regulatory networks affecting complex traits.
Brown AA, Fernandez-Tajes JJ, Hong MG, Brorsson CA, Koivula RW, Davtian D, Dupuis T, Sartori A, Michalettou TD, Forgie IM, Adam J, Allin KH, Caiazzo R, Cederberg H, De Masi F, Elders PJM, Giordano GN, Haid M, Hansen T, Hansen TH, Hattersley AT, Heggie AJ, Howald C, Jones AG, Kokkola T, Laakso M, Mahajan A, Mari A, McDonald TJ, McEvoy D, Mourby M, Musholt PB, Nilsson B, Pattou F, Penet D, Raverdy V, Ridderstråle M, Romano L, Rutters F, Sharma S, Teare H, 't Hart L, Tsirigos KD, Vangipurapu J, Vestergaard H, Brunak S, Franks PW, Frost G, Grallert H, Jablonka B, McCarthy MI, Pavo I, Pedersen O, Ruetten H, Walker M; DIRECT Consortium; Adamski J, Schwenk JM, Pearson ER, Dermitzakis ET, Viñuela A. Brown AA, et al. Nat Commun. 2023 Aug 21;14(1):5062. doi: 10.1038/s41467-023-40569-3. Nat Commun. 2023. PMID: 37604891 Free PMC article.
Your role in a code blue.
Ehrhardt BS, Glankler DM. Ehrhardt BS, et al. Nursing. 1996 Jan;26(1):34-9; quiz 40. doi: 10.1097/00152193-199601000-00017. Nursing. 1996. PMID: 8632850 No abstract available.
An innovative non-invasive technique for subcutaneous tumour measurements.
Delgado-SanMartin J, Ehrhardt B, Paczkowski M, Hackett S, Smith A, Waraich W, Klatzow J, Zabair A, Chabokdast A, Rubio-Navarro L, Rahi A, Wilson Z. Delgado-SanMartin J, et al. Among authors: ehrhardt b. PLoS One. 2019 Oct 14;14(10):e0216690. doi: 10.1371/journal.pone.0216690. eCollection 2019. PLoS One. 2019. PMID: 31609977 Free PMC article.
34 results