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Erythroblastaemia in natalizumab-treated patients with multiple sclerosis.
La Gioia S, Seghezzi M, Barcella V, Dominoni P, Mecca T, Frigeni B, Conti MZ, Vedovello M, Vidali M, Rottoli M, Buoro S. La Gioia S, et al. Among authors: vidali m. Mult Scler Relat Disord. 2016 Jul;8:141-4. doi: 10.1016/j.msard.2016.05.020. Epub 2016 Jun 2. Mult Scler Relat Disord. 2016. PMID: 27456890
Performance evaluation of the automated nucleated red blood cell count of five commercial hematological analyzers.
Da Rin G, Vidali M, Balboni F, Benegiamo A, Borin M, Ciardelli ML, Dima F, Di Fabio A, Fanelli A, Fiorini F, Francione S, Germagnoli L, Gioia M, Lari T, Lorubbio M, Marini A, Papa A, Seghezzi M, Solarino L, Pipitone S, Tilocca E, Buoro S. Da Rin G, et al. Among authors: vidali m. Int J Lab Hematol. 2017 Dec;39(6):663-670. doi: 10.1111/ijlh.12722. Epub 2017 Oct 8. Int J Lab Hematol. 2017. PMID: 28990291
A collaborative study by the Working Group on Hemostasis and Thrombosis of the Italian Society of Clinical Biochemistry and Clinical Molecular Biology (SIBioC) on the interference of haemolysis on five routine blood coagulation tests by evaluation of 269 paired haemolysed/non-haemolysed samples.
Novelli C, Vidali M, Brando B, Morelli B, Andreani G, Arini M, Calzoni P, Giacomello R, Montaruli B, Muccini E, Papa A, Pradella P, Ruocco L, Siviero F, Viola FG, Zanchetta M, Zardo L, Lippi G. Novelli C, et al. Among authors: vidali m. Biochem Med (Zagreb). 2018 Oct 15;28(3):030711. doi: 10.11613/BM.2018.030711. Biochem Med (Zagreb). 2018. PMID: 30429679 Free PMC article.
Multicenter evaluation of analytical performances of platelet counts and platelet parameters: Carryover, precision, and stability.
Gioia M, Da Rin G, Manenti B, Birindelli S, Ciardelli ML, Gentile R, Beretta G, Lorusso G, Avino D, Di Fabio AM, Dima F, Fanelli A, Lorubbio M, Francione S, Marincheva G, Marini A, Papa A, Giannelli E, Pajola R, Panzeri A, Pipitone S, Benegiamo A, Rolla R, Vidali M, Buoro S. Gioia M, et al. Among authors: vidali m. Int J Lab Hematol. 2020 Oct;42(5):552-564. doi: 10.1111/ijlh.13204. Epub 2020 Apr 18. Int J Lab Hematol. 2020. PMID: 32304271
The multicenter European Biological Variation Study (EuBIVAS): a new glance provided by the Principal Component Analysis (PCA), a machine learning unsupervised algorithms, based on the basic metabolic panel linked measurands.
Carobene A, Campagner A, Uccheddu C, Banfi G, Vidali M, Cabitza F. Carobene A, et al. Among authors: vidali m. Clin Chem Lab Med. 2021 Aug 2;60(4):556-568. doi: 10.1515/cclm-2021-0599. Print 2022 Mar 28. Clin Chem Lab Med. 2021. PMID: 34333884 Free article.
143 results