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Combining Deep Phenotyping of Serum Proteomics and Clinical Data via Machine Learning for COVID-19 Biomarker Discovery.
Beltrami AP, De Martino M, Dalla E, Malfatti MC, Caponnetto F, Codrich M, Stefanizzi D, Fabris M, Sozio E, D'Aurizio F, Pucillo CEM, Sechi LA, Tascini C, Curcio F, Foresti GL, Piciarelli C, De Nardin A, Tell G, Isola M. Beltrami AP, et al. Int J Mol Sci. 2022 Aug 15;23(16):9161. doi: 10.3390/ijms23169161. Int J Mol Sci. 2022. PMID: 36012423 Free PMC article.
Cytokines from Bench to Bedside: A Retrospective Study Identifies a Definite Panel of Biomarkers to Early Assess the Risk of Negative Outcome in COVID-19 Patients.
Fabris M, Del Ben F, Sozio E, Beltrami AP, Cifù A, Bertolino G, Caponnetto F, Cotrufo M, Tascini C, Curcio F. Fabris M, et al. Int J Mol Sci. 2022 Apr 27;23(9):4830. doi: 10.3390/ijms23094830. Int J Mol Sci. 2022. PMID: 35563218 Free PMC article.
The mortality rate was 65/415 (15.7%) and a negative outcome (death and/or orotracheal intubation) affected 98/415 (23.6%) of cases. Univariate tests showed the majority of biomarkers increased in severe patients, but ranking tests helped to select the best variables to pu …
The mortality rate was 65/415 (15.7%) and a negative outcome (death and/or orotracheal intubation) affected 98/415 (23.6%) of cases. …