Publications by authors named "M C Paoletti"
Background And Objectives: Antibodies to proteolipid protein-1 (PLP1-IgG), a major central myelin protein also expressed in the peripheral nervous system (PNS) as the isoform DM20, have been previously identified mostly in patients with multiple sclerosis (MS), with unclear clinical implications. However, most studies relied on nonconformational immunoassays and included few patients with non-MS CNS autoimmune demyelinating disorders (ADDs). We aimed to investigate conformational PLP1-IgG in the whole ADD spectrum.
View Article and Find Full Text PDFIntroduction: Asthma is a prevalent chronic respiratory condition that significantly impacts public health, with severe asthma subtypes, such as severe eosinophilic asthma, imposing substantial socioeconomic burdens.
Methods: Real-world data from the Italian Health Information System were analyzed to evaluate the economic consequences of asthma in Italy. An in-depth comparative analysis was conducted to investigate the economic implications of various asthma subtypes, focusing on severe eosinophilic asthma.
The and parasitoid flies of the honeybee were found to infest apiaries of different European and Mediterranean countries but their prevalence and impact on apiary health are little known. Therefore, in this study, quantitative PCR (qPCR)-based methods were developed for their rapid detection directly in hive matrices. The newly developed qPCR assays were targeted at the mitochondrial cytochrome oxidase subunit I () gene for the and the cytochrome B (B) gene for the The tests were preliminarily applied to 64 samples of adult honeybees and hive debris collected in the Abruzzo and Molise regions, Central Italy, and the Republic of Kosovo showing that both flies occur in the two countries and more frequently in Italy.
View Article and Find Full Text PDFMyo-regressor Deep Informed Neural NetwOrk (Myo-DINO) for fast MR parameters mapping in neuromuscular disorders.
Comput Methods Programs Biomed
November 2024
Article Synopsis
- Researchers have developed a Physics Informed Neural Network (Myo-DINO) to improve Magnetic Resonance Imaging (mMRI) by efficiently mapping MR parameters like Fat Fraction and water-T in patients with Neuromuscular Disorders (NMDs).
- The study utilized a dataset of 2165 images from Multi-Echo Spin Echo (MESE) scans, where ground truth maps were derived using the MyoQMRI toolbox based on signal evolution theories.
- The Myo-DINO model incorporated unique physics-based loss functions to enhance accuracy, adjusting hyperparameters to balance the influence of physics and standard loss functions during training.
Article Synopsis
- - The study analyzes the cost-effectiveness of pembrolizumab combined with chemotherapy for treating metastatic non-small cell lung cancer and as an adjuvant treatment for stage III melanoma in Italy, aiming to provide insights for better healthcare management.
- - A comprehensive cost-effectiveness model was constructed, evaluating the health outcomes and economic impacts (QALYs and DALYs) over a 40-year period from the perspective of the Italian National Health Service, including a significant number of patient cohorts.
- - Findings indicate substantial cost savings linked to the use of pembrolizumab over traditional treatments, with notable direct cost offsets associated with squamous and non-squamous NSCLC and melanoma treatments.