Publications by authors named "A I SHERIDAN"

Blood coagulation is a highly regulated injury response that features polymerization of fibrin fibers to prevent the passage of blood from a damaged vascular endothelium. A growing body of research seeks to monitor coagulation in microfluidic systems but fails to capture coagulation as a response to disruption of the vascular endothelium. Here we present a device that allows compression injury of a defined segment of a microfluidic vascular endothelium and the assessment of coagulation at the injury site.

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Background: Fetal fibrinogen is a variant present in neonates. Blood products used in neonates are tailored for adults and do not seamlessly integrate into neonatal clots. Increased sialic acid content has been found in fetal fibrinogen compared with adult fibrinogen.

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Article Synopsis
  • - Producing accurate 3D models from biological images, especially of complex brain structures, requires extensive human effort to annotate data, which is time-consuming and typically done by experts.
  • - The authors developed a new deep learning method that allows for quick 3D segmentations using minimal 2D annotations, dramatically reducing the time required to create training data.
  • - This innovative approach enables non-experts to generate necessary annotations efficiently, making it easier to study brain circuits and their connections across larger datasets.
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Introduction: Differences in smoking prevalence across socioeconomic groups are a major driver of health inequalities. Although smoking prevalence continues to decline across most developed countries, socioeconomic inequalities in smoking still persist. While Ireland is among a small number of countries with a tobacco-endgame goal set to achieve a smoking prevalence of 5% by 2025, the challenge this presents by socioeconomic status is uncharted.

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Understanding the systemic biochemistry of early pregnancy in the mare is essential for developing new diagnostics and identifying causes for pregnancy loss. This study aimed to elucidate the dynamic lipidomic changes occurring during the initial stages of equine pregnancy, with a specific focus on days 7 and 14 post-ovulation. By analysing and comparing the plasma lipid profiles of pregnant and non-pregnant mares, the objective of this study was to identify potential biomarkers for pregnancy and gain insights into the biochemical adaptations essential for supporting maternal recognition of pregnancy and early embryonic development.

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