The aim of this study was to determine the effect of the weaning calves at 2 ages (early vs. late) and 2 weaning paces (abrupt over 3 d vs. gradual over 14 d) on plasma oxylipids.
View Article and Find Full Text PDFBackground: Prior to the introduction of disease-modifying treatments (DMTs), children with type 1 spinal muscular atrophy (SMA) typically did not survive beyond the age of 2 years; management was mainly palliative. Novel therapies have made this a treatable condition, resulting in increased life expectancy and more time spent upright. Survival and improved function mean spinal asymmetry is a new complication with limited data on its prevalence and severity and no current guidelines on management and treatment.
View Article and Find Full Text PDFBackground: Ovine pulmonary adenocarcinoma (OPA) is caused by Jaagsiekte sheep retrovirus (JSRV) and is considered an important potential animal model for human lung cancer. The precise mechanisms of OPA oncogenesis are still uncertain. The transcription factor signal transducer and activator of transcription 3 (STAT3) is activated by interleukin-6 (IL-6) in many cancers, but this aspect is unknown in OPA.
View Article and Find Full Text PDFHealth professionals often feel underprepared to treat patients who identify as lesbian, gay, bisexual, transgender, and/or queer (LGBTQ+). Additionally, lack of access to professionals who are knowledgeable about LGBTQ+ inclusive care contributes to the myriad of health disparities experienced by LGBTQ+ communities. This cross-sectional survey study explores the preparedness of healthcare profession trainees for caring for LGBTQ+ patients by quantifying the hours and quality of training health profession trainees receive in LGBTQ+ education across disciplines.
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December 2024
This paper examines the integration of artificial intelligence (AI) in point-of-care testing (POCT) to enhance diagnostic speed, accuracy, and accessibility, particularly in underserved regions. AI-driven POCT is shown to optimize clinical decision-making, reduce diagnostic times, and offer personalized healthcare solutions, with applications in genome sequencing and infectious disease management. The paper highlights the environmental challenges of AI, including high energy consumption and electronic waste, and proposes solutions such as energy-efficient algorithms and edge computing.
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