D
Daniele Ceriotti
Researcher at Vita-Salute San Raffaele University
Publications - 7
Citations - 119
Daniele Ceriotti is an academic researcher from Vita-Salute San Raffaele University. The author has contributed to research in topics: Internal medicine & Medicine. The author has an hindex of 2, co-authored 4 publications receiving 35 citations.
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Development, evaluation, and validation of machine learning models for COVID-19 detection based on routine blood tests.
Federico Cabitza,Andrea Campagner,Davide Ferrari,Chiara Di Resta,Daniele Ceriotti,Eleonora Sabetta,Alessandra Colombini,Elena De Vecchi,Giuseppe Banfi,Massimo Locatelli,Anna Carobene +10 more
TL;DR: ML can be applied to blood tests as both an adjunct and alternative method to rRT-PCR for the fast and cost-effective identification of COVID-19-positive patients in developing countries, or in countries facing an increase in contagions.
Routine blood analysis greatly reduces the false-negative rate of RT-PCR testing for Covid-19.
Davide Ferrari,Eleonora Sabetta,Daniele Ceriotti,Andrea Motta,Marta Strollo,Giuseppe Banfi,Massimo Locatelli +6 more
TL;DR: This study retrospectively analyzed 24 patients showing multiple and inconsistent RT-PCR, test during their first hospitalization period, and compared the genetic tests results with their AST and LDH levels and showed that when considering the hematological parameters, the RT- PCR false-negative rates were reduced by almost 4-fold.
Journal ArticleDOI
Role of time-normalized laboratory findings in predicting COVID-19 outcome.
Davide Ferrari,Davide Ferrari,Andrea Seveso,Eleonora Sabetta,Daniele Ceriotti,Anna Carobene,Giuseppe Banfi,Massimo Locatelli,Federico Cabitza +8 more
TL;DR: This longitudinal study is the first study describing the laboratory characteristics of Italian COVID-19 patients on a normalized time-scale and shows that some parameters can be considered as early prognostic indicators whereas others exhibit statistically significant differences only at a later stage of the disease.
Evidence of significant difference in key COVID-19 biomarkers during the Italian lockdown strategy. A retrospective study on patients admitted to a hospital emergency department in Northern Italy.
Davide Ferrari,Anna Carobene,Andrea Campagner,Federico Cabitza,Eleonora Sabetta,Daniele Ceriotti,Chiara Di Resta,Massimo Locatelli +7 more
TL;DR: In this article, the authors compared the biochemical patterns of patients during and after the COVID-19 pandemic peak in order to verify whether later patients were experiencing a milder course, as anecdotally observed by several clinicians of the same hospital.