Publications by authors named "W F P Teixeira"

Breastfeeding is fundamental for the development and protection of the newborn, and microorganisms present in breast milk are associated with the development of the infant's intestinal microbiota. However, there are factors that interfere with breastfeeding, resulting in the need to supply donated milk to milk banks for these children. Even though there is a restriction on medications prescribed for pregnant and breastfeeding women, some antimicrobials are accepted, as long as they are used correctly and as they can increase the selection pressure for resistant bacteria.

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With the increasingly close coexistence between pets and humans, coupled with reports of Cryptosporidium cross-infection between felines and their guardians, research aimed at understanding the epidemiology of these parasites in specific regions has become necessary. The principal objective of this study was to undertake a molecular characterization of Cryptosporidium in fecal samples from felines in the state of Goiás, Brazil (which is unprecedented for the region), and to assess the risk factors involved in the infection of these animals in the aforementioned locale. A total of 95 fecal samples were collected from domestic felines in the municipality of Goiânia, Goiás, Brazil.

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Background: Combining surgery and radiotherapy is the gold standard in treating spinal metastasis when spinal stabilization or surgical decompression is required. Determining the optimal timing for radiotherapy postsurgery is crucial to balance treatment efficacy minimizing wound complications. The study aimed to identify consensus and nonconsensus areas among Latin American spinal surgeons regarding the use, timing, risks, and surgical approach to conventional external beam radiotherapy (cEBRT) following spinal surgery for metastases, specifically focusing on the risk of radiotherapy-related wound complications.

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Predicting the histopathology of residual retroperitoneal masses (RMMs) before post-chemotherapy retroperitoneal lymph node dissection in metastatic nonseminomatous germ cell tumors (NSGCTs) can guide individualized treatment and minimize complications. Previous single approach-based models perform poorly in validation. Herein, we introduce a machine learning model that evolves from a single-dimensional tumor diameter to incorporate high-dimensional radiomic features, with its effectiveness assessed using the macro-average area under the receiver operating characteristic curves (AUCs).

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Infections caused by the Chlamydiales order are highly prevalent worldwide and have a well-known association with reproductive and non-reproductive disorders in livestock and humans. This study aimed to identify Chlamydiales organisms in ruminant abortions using real-time polymerase chain reaction (qPCR) in samples collected from three Brazilian states: Rio Grande do Sul, Santa Catarina, and São Paulo. The Chlamydiales order was found in 7.

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