Publications by authors named "T M McHugh"

Objective: Information technologies may enhance our traditional perioperative teaching by providing more comprehensive information beyond the clinical visit. This quality improvement study aims to assess whether the implementation of an animated surgical video improves caregiver satisfaction for children undergoing adenotonsillectomy.

Study Design: Prospective, single-blinded randomized-controlled trial was conducted between March 1 and October 1, 2023.

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Introduction: Colonisation and infection with Carbapenem-resistant Enterobacterales (CRE) in healthcare settings poses significant risks, especially for vulnerable patients. Genomic analysis can be used to trace transmission routes, supporting antimicrobial stewardship and informing infection control strategies. Here we used genomic analysis to track the movement and transmission of CREs within clinical and environmental samples.

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Novel and repurposed antiviral drugs are available for the treatment of coronavirus disease 2019 (COVID-19). However, antiviral combinations may be more potent and lead to faster viral clearance, but the methods for screening antiviral combinations against respiratory viruses are not well established and labor-intensive. Here, we describe a time-efficient (72-96 h) and simple drug-sensitivity assay for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) using standard 96-well plates.

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The basolateral amygdala (BLA) is crucial for the encoding and expression of fear memory, yet it remains unexplored how neural activity in this region is dynamically influenced by distributed circuits across the brain to facilitate expression of fear memory of different ages. Using longitudinal multisite electrophysiological recordings in male mice, we find that the recall of older contextual fear memory is accompanied by weaker, yet more rhythmic, BLA gamma activity which is distally entrained by theta oscillations in both the hippocampal CA1 and the anterior cingulate cortex. Computational modeling with Light Gradient Boosting Machine using extracted oscillatory features from these three regions, as well as with Transformer using raw local field potentials, accurately classified remote from recent memory recall primarily based on BLA gamma and CA1 theta.

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The correlation between circulating microbes and sepsis as well as proinflammatory diseases is increasingly gaining recognition. However, the detection of microbes' cell-free DNA (cfDNA), which exist at concentrations of a billion times lower than blood proteins, poses a significant challenge for early disease detection. Here, we present Nano mechanics combined with highly sensitive readout sequences to address the challenges of ultralow counts of disease biomarkers, thus enabling robust quantitative monitoring of chronic medical conditions at different stages of human disease progression.

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