Publications by authors named "D Errico"
The potential of a voltametric E-tongue coupled with a custom data pre-processing stage to improve the performance of machine learning techniques for rapid discrimination of tomato purées between cultivars of different economic value has been investigated. To this aim, a sensor array with screen-printed carbon electrodes modified with gold nanoparticles (GNP), copper nanoparticles (CNP) and bulk gold subsequently modified with poly(3,4-ethylenedioxythiophene) (PEDOT), was developed to acquire data to be transformed by a custom pre-processing pipeline and then processed by a set of commonly used classifiers. The GNP and CNP-modified electrodes, selected based on their sensitivity to soluble monosaccharides, demonstrated good ability in discriminating samples of different cultivars.
View Article and Find Full Text PDFIntroduction: Obese patients are at risk of complications after cardiac surgery. The aim of this study is to investigate safety and efficacy of a minimally invasive approach via upper sternotomy in this setting.
Methods: We retrospectively reviewed 203 obese patients who underwent isolated, elective aortic valve replacement between January 2014 and January 2023 - 106 with minimally invasive aortic valve replacement (MIAVR) and 97 with conventional aortic valve replacement (CAVR).
Both private and public funding cover outpatient physiotherapy (PT) in Canada. Knowledge is lacking in who does and does not access PT services, which limits the ability to identify health/access inequities created by current financing structures. This study characterizes the individuals accessing private PT in Winnipeg to better understand whether inequities exist, given the very limited publicly financed PT.
View Article and Find Full Text PDFArticle Synopsis
- * The ValPeRoc project was launched in 2020 to regularly assess the performance of Roc regarding clinical services and economic efficiency, focusing on five types of cancer and tracking timelines from diagnosis to treatment decisions.
- * Analysis showed a classification accuracy of 68% in predicting treatment delays among patients, with varying success across cancer types, highlighting specific risks linked to previous treatments and the lung cancer group.
Objective: The primary goal of the Campania Oncology Network (ROC) was to reduce cancer delay and care fragmentation through the establishment of cancer-specific multidisciplinary oncologic groups (GOMs) and diagnostic and therapeutic assistance paths (PDTAs).
Methods: Five cancer centres of the ROC, with their own cancer specific GOM, were selected. In our analysis, we have focused on four neoplasms: lung, colon, ovarian and prostate cancers.