Publications by authors named "S E Hernandez Da Mota"

Understanding owners' realities and perceptions may be crucial to helping veterinarians be more effective in their daily work. Noticing the lack of publications in this area, specifically on exotic pets, prompted us to gather insights into non-traditional companion animal owners. A survey was conducted, resulting in 541 respondents from Portugal and Spain.

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Background: Oximetry was proposed as an abbreviated exam, easily accepted by the child, for the diagnosis of obstructive sleep apnea (OSA) for children located in regions where access to pediatric sleep labs is limited. The objective of this study was to determine the diagnostic value of the oxygen desaturation index (ODI), the number of ≥ 3% oxygen desaturations per hour of recording, obtained by portable oximetry performed in parallel with video-polysomnography (PSG), in a cohort of children, with and without comorbidities, referred for OSA.

Methods: Data from portable oximetry performed in parallel with PSG were prospectively collected.

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Polysomnography (PSG) is the gold standard for diagnosing obstructive sleep apnea (OSA) in children but not always available. Abbreviated exams exist, such as respiratory polygraphy (RP), but are less accurate for OSA diagnosis. Video recording (video-RP) may provide a more precise estimation of the total sleep time (TST) compared to RP alone.

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Background: Over the past few decades, the scientific community has recognized the impact of physical activity on health and performance. In parallel, researchers have been actively exploring novel methodologies to analyze the physiological and metabolic responses to exercise. Fourier transform infrared spectroscopy has emerged as a powerful tool in this effort, offering the potential to provide unique insights into exercise-related changes at the molecular level.

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Objective: The objective of this study is to compare detection rates of extracapsular extension (ECE) of prostate cancer (PCa) using artificial intelligence (AI)-generated cancer maps versus MRI and conventional nomograms.

Materials And Methods: We retrospectively analysed data from 147 patients who received MRI-targeted biopsy and subsequent radical prostatectomy between September 2016 and May 2022. AI-based software cleared by the United States Food and Drug Administration (Unfold AI, Avenda Health) was used to map 3D cancer probability and estimate ECE risk.

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