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Machine learning-enabled maternal risk assessment for women with pre-eclampsia (the PIERS-ML model): a modelling study.
Montgomery-Csobán T, Kavanagh K, Murray P, Robertson C, Barry SJE, Vivian Ukah U, Payne BA, Nicolaides KH, Syngelaki A, Ionescu O, Akolekar R, Hutcheon JA, Magee LA, von Dadelszen P; PIERS Consortium. Montgomery-Csobán T, et al. Lancet Digit Health. 2024 Apr;6(4):e238-e250. doi: 10.1016/S2589-7500(23)00267-4. Lancet Digit Health. 2024. PMID: 38519152 Free PMC article.
The role of natural antibodies in atherogenesis.
Binder CJ, Shaw PX, Chang MK, Boullier A, Hartvigsen K, Hörkkö S, Miller YI, Woelkers DA, Corr M, Witztum JL. Binder CJ, et al. Among authors: woelkers da. J Lipid Res. 2005 Jul;46(7):1353-63. doi: 10.1194/jlr.R500005-JLR200. Epub 2005 May 16. J Lipid Res. 2005. PMID: 15897601 Free article. Review.
Placental growth factor predicts time to delivery in women with signs or symptoms of early preterm preeclampsia: a prospective multicenter study.
Barton JR, Woelkers DA, Newman RB, Combs CA, How HY, Boggess KA, Martin JN Jr, Kupfer K, Sibai BM; PETRA (Preeclampsia Triage by Rapid Assay) Trial. Barton JR, et al. Among authors: woelkers da. Am J Obstet Gynecol. 2020 Mar;222(3):259.e1-259.e11. doi: 10.1016/j.ajog.2019.09.003. Epub 2019 Sep 10. Am J Obstet Gynecol. 2020. PMID: 31518550