Publications by authors named "Luca Rossi"

Article Synopsis
  • Novel antimicrobial drugs, like cefiderocol, have been developed to tackle the rise of antimicrobial resistance, specifically against multidrug-resistant (MDR) Gram-negative bacilli (GNB).
  • Cefiderocol, a unique siderophore cephalosporin, efficiently penetrates bacterial outer membranes, making it effective against various resistance strategies and offering a broad spectrum of action.
  • Despite its effectiveness, recently identified cefiderocol-resistant strains highlight the need for new strategies in clinical practice to maintain its antibacterial efficacy.
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  • - The research aimed to create a deep learning model for accurately assessing the extent of resection (EOR) in glioblastoma patients using postoperative MRI scans, addressing limitations of existing algorithms that only focus on preoperative images.
  • - Utilizing data from multiple sources, the model was trained to segment tumor features like contrast-enhancing tumor, edema, and surgical cavity, and was compared with other segmentation models, showing high performance in classifying resection categories.
  • - The study found that the nnU-Net framework outperformed other algorithms, achieving high accuracy in both segmentation (with median Dice scores up to 0.81) and EOR classification (96% accuracy in comparisons), making it a valuable tool for clinical use.
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Introduction: Intestinal microeukaryote parasites are major contributors to the burden of diarrhoea in humans and domestic animals, but their epidemiology in wildlife is not fully understood. We investigated the frequency, genetic diversity and zoonotic potential of protists of animal and public health significance in free-ranging grey wolf (Canis lupus) populations in south-western Europe.

Methods: Individually formed faecal samples collected from necropsied wolves or scat trails in Italy (n = 47), Portugal (n = 43) and Spain (n = 225) during the period 2011-2023 were retrospectively analysed using molecular (PCR and Sanger sequencing) methods.

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Deep learning (DL) has been applied to glioblastoma (GBM) magnetic resonance imaging (MRI) assessment for tumor segmentation and inference of molecular, diagnostic, and prognostic information. We comprehensively overviewed the currently available DL applications, critically examining the limitations that hinder their broader adoption in clinical practice and molecular research. Technical limitations to the routine application of DL include the qualitative heterogeneity of MRI, related to different machinery and protocols, and the absence of informative sequences, possibly compensated by artificial image synthesis.

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  • This study investigated how different anatomical variations of pulmonary veins (PV) and their cooling characteristics affect recurrence of atrial fibrillation (AF) after cryoballoon (CB) ablation, using data from a large multicenter registry.
  • Out of 429 patients with AF, 28 had anatomical variants; the study found no significant difference in AF recurrence rates between those with variants and those with standard anatomy.
  • Key factors associated with AF recurrence included shorter thaw and deflation times, while conditions like heart failure and persistent AF were linked to higher recurrence rates during follow-up.
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In the Maritime Alps (northwestern Italy), we collected ticks from vegetation and Alpine ibex (). was the most abundant species in the study area, questing up to 1824 m a.s.

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The goal of this work is to understand and quantify how a line with nonlocal diffusion given by an integral enhances a reaction-diffusion process occurring in the surrounding plane. This is part of a long term programme where we aim at modelling, in a mathematically rigorous way, the effect of transportation networks on the speed of biological invasions or propagation of epidemics. We prove the existence of a global propagation speed and characterise in terms of the parameters of the system the situations where such a speed is boosted by the presence of the line.

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Article Synopsis
  • Understanding anthropogenic hybridization is crucial for species conservation, especially between wild animals and their domestic counterparts.
  • An extensive study on Alpine ibex revealed ongoing hybridization with domestic goats, showing that these hybrids can successfully reproduce and survive, indicating weak reproductive barriers.
  • Researchers developed a reliable genetic identification method for hybrids using SNP analysis, allowing for easier field identification and the assessment of hybridization levels across different populations.
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The convolution operator at the core of many modern neural architectures can effectively be seen as performing a dot product between an input matrix and a filter. While this is readily applicable to data such as images, which can be represented as regular grids in the Euclidean space, extending the convolution operator to work on graphs proves more challenging, due to their irregular structure. In this article, we propose to use graph kernels, i.

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Sarcoptic mange is a highly contagious skin disease caused by . Sera were collected from 411 Iberian ibexes, comprising 157 individuals with sarcoptic mange skin lesions and 254 clinically healthy animals, in 13 population nuclei across Andalusia (southern Spain) between 2015 and 2021. Skin samples from 88 of the 157 animals with mange-compatible lesions were also obtained.

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  • Researchers developed and validated a COVID-19 specific scoring system, called the EL COVID score, to predict in-hospital mortality based on patient data, including ECG features, from a multicenter Italian study.
  • Out of 1014 hospitalized patients analyzed, key factors identified that were associated with higher mortality included age, delirium, platelet count, D-dimer levels, signs of right ventricular strain, and previous myocardial necrosis.
  • The EL COVID score demonstrated moderate accuracy (sensitivity of 78.4%, specificity of 65.2%) and can help identify high-risk patients for better treatment and monitoring upon hospital admission.
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  • In deep learning, models need a lot of data to train effectively, leading to the development of zero-shot learning (ZSL), which tests models on "unseen" classes after training on "seen" ones.
  • This paper investigates how the way data is split influences the performance of ZSL models, specifically looking at the attributes and classes used during training.
  • Experiments show that ZSL models can be improved in terms of generalizability and robustness, particularly on different types of datasets, with dimensionality reduction techniques being effective in enhancing performance for fine-grained datasets.
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Background: West Nile virus (WNV) infection is a seasonal arbovirosis with the potential to cause severe neurological disease. Outcomes of the infection from WNV depend on viral factors (e.g.

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Out-of-hospital cardiac arrest (OHCA) represents a significant healthcare issue that is often underestimated. OHCA predominantly affects the general population, with staggering numbers: 400 000 cases annually in Europe and 350 000 in the United States, contributing to 50% of cardiovascular-related deaths. The vast majority of OHCA cases begin with a shockable rhythm, making effective treatment possible through early defibrillation, even by non-medical personnel using automated external defibrillators (AEDs).

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Background: Orf virus (ORFV) is the pathogen responsible for Orf, a zoonotic viral infection that can be spread to humans from sheep and goats. Here, we present a case of human Orf complicated by an immune-related reaction, to raise awareness of this under-recognized disease avoiding unnecessary investigations and overtreatment.

Case Report: A 51-year-old woman with no previous medical history presented with a one-week history of three asymptomatic swelling nodules with a grey necrotic center and red outer halo on her index finger.

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The transmanubrial musculoskeletal sparing approach (TMA) is commonly used for resecting apical lung tumours with vascular involvement. Non-neoplastic conditions which might require surgical exploration of the thoracic outlet include the 'cervical rib', a clinical condition consisting of an additional rib forming above the first rib and growing from the base of the neck just above the clavicle. Type 1 cervical rib-when a complete cervical rib articulates with the first rib or manubrium of the sternum-is the most challenging scenario where the subclavian artery can be damaged by continuous compression due to the narrow space between clavicle, first rib and supernumerary cervical rib, requiring prosthetic reconstruction of the involved tract.

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An adult male ring-tailed lemur () from a biopark of northern Italy was submitted to necropsy. A multi-organ parasitic infection was macroscopically evident. Abundant sero-hemorrhagic fluid with larval parasites was present in all cavities.

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Article Synopsis
  • - The study focuses on using Artificial Intelligence (AI) to improve the evaluation of glioblastoma (a type of brain tumor) through MRI imaging, which is crucial for clinical decisions and surgical planning.
  • - Researchers trained a segmentation algorithm on a dataset of 237 MRIs (71 preoperative and 166 postoperative) from patients with Grade IV Glioma to enhance the accuracy of tumor assessment before and after surgery.
  • - Results indicate that while the algorithm performed well in preoperative evaluation (DICE score of 91.09), its performance was lower in postoperative assessments (DICE score of 72.31), suggesting that AI can help mitigate issues related to low-quality MRI images.
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Aims: Globally, nearly 20% of cardiovascular disease deaths were attributable to air pollution. Out-of-hospital cardiac arrest (OHCA) represents a major public health problem; therefore, the identification of novel OHCA triggers is of crucial relevance. The aim of the study was to evaluate the association between air pollution (short-, mid-, and long-term exposures) and OHCA risk, during a 7-year period in a highly polluted urban area in northern Italy, with a high density of automated external defibrillators (AEDs).

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We report the case of a 52-year-old marathon runner admitted to our emergency department for exertional heat stroke (EHS). The electrocardiogram (ECG) showed a supraventricular tachycardia, probably an atrial flutter with 2:1 block, conducted with left bundle branch block. After 10 minutes of aggressive fluid management and rapid external cooling, the ECG returned to normal.

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Background: Approved for acute bacterial skin and skin structure infections, dalbavancin (DBV) has gradually acquired over the years a role as an off-label treatment for several infections caused by Gram-positive bacteria even in other anatomical sites. Osteoarticular (OA) infections are one of the most difficult-to-treat infections and, since the absence of recommendations, clinicians use different and heterogenic DBV dosing schedule regimens for the off-label treatment of osteomyelitis, spondylodiscitis, and septic arthritis. Our aim is to systematically review the current literature to describe DBV administration schedules and their outcome in OA infections.

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Background: In March 2020, with the scope to reduce the spread of COVID-19, most national governments around the world canceled in-person education and moved to online learning. Therefore, teachers and students had to adapt a new way of teaching. Most of Italian teachers never had such an experience before and encountered difficulties in effectively carrying out this process on their own.

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Article Synopsis
  • Orf is a contagious disease caused by the Orf virus, primarily affecting sheep and goats, and can lead to immune-related complications in humans.
  • A literature review examined 16 articles involving 44 patients, mainly Caucasian and female, highlighting erythema multiforme as the most common immunological reaction.
  • Timely diagnosis often relies on clinical history, with a majority being treated successfully using topical corticosteroids and a focus on understanding the disease for better management.
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Predation risk largely constrains prey behavior. However, whether predators may be scary also after death remains unexplored. Here, we describe the "fight-and-flight" responses of a prey, the wild boar (), to carcasses of (a) its main predator, the gray wolf () and (b) a carnivore that very rarely kills wild boars, the red fox (), in the western Alps (Italy).

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