Publications by authors named "Carneiro G"

Background: Streptococcus pneumoniae (pneumococcus) is a common cause of respiratory and invasive infections in humans. PCV13, a pneumococcal conjugate vaccine used globally, is highly effective against diseases caused by pneumococcal serotypes included in its formulation. However, one of them, the serotype 3 (ST3) is still being relatively commonly isolated from patients, suggesting an escape from vaccine-induced immunity.

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  • - Endometriosis, affecting about 10% of individuals assigned female at birth, is difficult to diagnose and often requires surgical or MRI imaging methods, with MRI being quicker but less precise.
  • - A significant diagnostic indicator is the obliteration of the Pouch of Douglas, yet even experienced clinicians find it hard to accurately classify this from MRI images, which makes training reliable AI models a challenge.
  • - The paper introduces the HAICOMM methodology, which combines multi-rater and multi-modal learning with human-AI collaboration, leading to more accurate diagnoses of endometriosis compared to traditional methods and improving classification accuracy.
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Diseases caused by Streptococcus pneumoniae (pneumococcus) produce a great impact on public health, killing about one million people annually despite available vaccines. Recent research has revealed that the pneumococcus produces extracellular vesicles (pEVs), which display selective cargo and hold potential for vaccine development. Here, we evaluated the immunogenicity and protective potential of pEVs derived from a non-encapsulated pneumococcal strain (R6) using murine models of pneumococcal colonization and invasive pneumonia.

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  • Trema micranthum, a plant from the Cannabaceae family, shows potential as a new source of cannabinoids like CBD, amid the regulatory issues surrounding Cannabis sativa due to THC content.
  • This study used advanced UHPLC-HRMS/MS techniques to analyze different parts of the plant—fruits, leaves, inflorescences, and stems—for the presence of CBD, THC, and their acidic precursors (THCA A and CBDA).
  • The results revealed significant levels of cannabinoids, especially in the leaves (4.43 µg/g CBD, 1.05 µg/g THC), indicating that Trema micranthum could serve as a viable alternative source for cannabinoid research and production.
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  • - The study examines the impact of platelet-rich plasma (PRP) on uterine inflammation and pregnancy rates in jennies (female donkeys) inseminated with frozen donkey semen, which generally shows lower success in jennies compared to mares.
  • - Three groups of jennies were tested: a control group with no treatment, a group receiving a single PRP infusion, and a group getting double PRP infusions around ovulation and artificial insemination (AI).
  • - Results indicated that while S-PRP reduced intrauterine fluid (IUF) accumulation shortly after AI, no significant differences were observed in pregnancy rates among groups, suggesting PRP treatments did not effectively improve outcomes for jennies
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Background And Aim: Various deep learning models, based on convolutional neural network (CNN), have been shown to improve the detection of early esophageal neoplasia in Barrett's esophagus. Vision transformer (ViT), derived from natural language processing, has emerged as the new state-of-the-art for image recognition, outperforming predecessors such as CNN. This pilot study explores the use of ViT to classify the presence or absence of early esophageal neoplasia in endoscopic images of Barrett's esophagus.

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3D medical image segmentation methods have been successful, but their dependence on large amounts of voxel-level annotated data is a disadvantage that needs to be addressed given the high cost to obtain such annotation. Semi-supervised learning (SSL) solves this issue by training models with a large unlabelled and a small labelled dataset. The most successful SSL approaches are based on consistency learning that minimises the distance between model responses obtained from perturbed views of the unlabelled data.

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  • AI readers show comparable effectiveness to individual radiologists in detecting breast cancer from mammograms, but fall short when matched against multi-reader systems used in screening programs in countries like Australia, Sweden, and the UK.
  • A study utilizing a high-quality dataset from Victoria, Australia, simulates five AI-integrated screening pathways, finding that AI functioning as a second reader or high-confidence filter can enhance screening outcomes, improving sensitivity and specificity by a small margin.
  • While automation bias negatively impacts performance in multi-reader situations, it can benefit single-reader cases; this research suggests promising strategies for integrating AI in mammography screening and highlights the need for further studies before clinical use.
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This study assessed the impact of phytoremediation on reducing the residual concentration of metolachlor in soil treated with doses of 530.7 and 1061.4 g/ha and its effect on microbial biodiversity in contaminated areas.

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Consumer perception of foods processed by emerging technologies has been scarcely studied. This study aimed to evaluate the perception of vegan and non-vegan consumers regarding probiotic almond-fermented beverages processed by ultrasound using the packaging of the products (pasteurized/conventional, processed by ultrasound, and processed by ultrasound with a claim on the label). A "Check All That Apply" test with emojis and the Food Technology Neophobia scale were used.

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Providing plasma with immunoglobulins is essential for the health of foals with failure of passive transfer of immunity. The use of lyophilized plasma (LP) offers a simple and affordable option in terms of transportation and storage. This study aimed to measure the concentrations of immunoglobulin G (IgG), total protein (TP), and total solids (TS) in fresh equine plasma before and after lyophilization.

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The aim of this study was to assess the effect of lyophilized freezing extenders, which can be stored at room temperature, on stallion post-thaw sperm total motility (TM). Ejaculates of 28 stallions were frozen with four different extenders: two commercial freezing extenders offered worldwide and two novel lyophilized extenders (STAR and MX3), and two different cryopreservation protocols (CP1 with an equilibration period of 20 min. and CP2 with an equilibration period of 60 min.

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Methods to detect malignant lesions from screening mammograms are usually trained with fully annotated datasets, where images are labelled with the localisation and classification of cancerous lesions. However, real-world screening mammogram datasets commonly have a subset that is fully annotated and another subset that is weakly annotated with just the global classification (i.e.

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In this paper, we hypothesize that it is possible to localize image regions of preclinical tumors in a Chest X-ray (CXR) image by a weakly-supervised training of a survival prediction model using a dataset containing CXR images of healthy patients and their time-to-death label. These visual explanations can empower clinicians in early lung cancer detection and increase patient awareness of their susceptibility to the disease. To test this hypothesis, we train a censor-aware multi-class survival prediction deep learning classifier that is robust to imbalanced training, where classes represent quantized number of days for time-to-death prediction.

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Monitoring the healing progress of diabetic foot ulcers is a challenging process. Accurate segmentation of foot ulcers can help podiatrists to quantitatively measure the size of wound regions to assist prediction of healing status. The main challenge in this field is the lack of publicly available manual delineation, which can be time consuming and laborious.

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Background: Nanotechnology can benefit livestock industries, especially through postharvest semen manipulation. Zinc oxide nanoparticles (Np-ZnO) are potentially an example.

Objective: To investigate how the addition of zinc oxide nanoparticles (Np-ZnO) affected the characteristics of post-thawed goat semen.

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Molecular imaging is a key tool in the diagnosis and treatment of prostate cancer (PCa). Magnetic Resonance (MR) plays a major role in this respect with nuclear medicine imaging, particularly, Prostate-Specific Membrane Antigen-based, (PSMA-based) positron emission tomography with computed tomography (PET/CT) also playing a major role of rapidly increasing importance. Another key technology finding growing application across medicine and specifically in molecular imaging is the use of machine learning (ML) and artificial intelligence (AI).

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The aim of this study was to produce an alcohol gel hand sanitizer containing green glycerol. Crude glycerol was purified using chemical and physical treatments. The sanitizer was prepared using 71.

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We aimed to determine the antimicrobial susceptibility profile of pathogenic Escherichia coli strains isolated from fecal samples of calves and buffalo calves (2008-2013), in Minas Gerais, Brazil, as well as the frequency of O157 gene and strains carrying extended-spectrum beta-lactamases (ESBL) and mobile colistin resistance (mcr) genes. E. coli strains (n=518) were tested for susceptibility against ten antimicrobials.

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Endometriosis affects 1 in 9 women, taking 6.4 years to diagnose using conventional laparoscopy. Non-invasive imaging enables timelier diagnosis, reducing diagnostic delay, risk and expense of surgery.

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Endometriosis affects 1 in 9 women and those assigned female at birth. However, it takes 6.4 years to diagnose using the conventional standard of laparoscopy.

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Endometriosis is a debilitating condition affecting 5% to 10% of the women worldwide, where early detection and treatment are the best tools to manage the condition. Early detection can be done via surgery, but multi-modal medical imaging is preferable given the simpler and faster process. However, imaging-based endometriosis diagnosis is challenging as 1) there are few capable clinicians; and 2) it is characterised by small lesions unconfined to a specific location.

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Objective: To characterize adherence to Phenylketonuria (PKU) management practices among PKU patients treated at reference sites around Argentina, Brazil, and Mexico.

Methods: This is a retrospective, observational, multicenter, and multinational survey-based study using aggregate data. From an initial list of 40 sites, 22 clinicians expressed interest in completing the survey, with 20 clinicians from 20 unique sites fulfilling all the study criteria.

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Foals require maternal colostrum in the first hours of life to prevent failure of transfer of passive immunity (FTIP). Innovative storage methods such as lyophilization may enable conservation of colostrum immunoglobulins by a differentiated process of dehydration. The current study aimed to compare the quality of equine colostrum after freezing and after the lyophilization process.

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