Publications by authors named "M E Barton"

The purpose of this study was to explore what speech-language pathologists (SLPs) who are AAC specialists see as advantages and disadvantages of providing AAC services via telehealth, how well tele-AAC assessments align with guidelines for in-person assessments, and how SLPs' perspectives of tele-AAC services changed post-COVID. Fifteen SLPs who are AAC specialists and experienced working with people with amyotrophic lateral sclerosis watched videos of speech generating device (SGD) assessments conducted via telehealth for eight people with amyotrophic lateral sclerosis. Using a checklist based on the AAC Clinical Assessment Project (AAC-CAP), the SLPs rated how comparable remote assessment was to in-person assessment, and described advantages and challenges.

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Computational models are complex scientific constructs that have become essential for us to better understand the world. Many models are valuable for peers within and beyond disciplinary boundaries. However, there are no widely agreed-upon standards for sharing models.

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Background: Recent studies have validated the efficacy of point-of-care ultrasound (POCUS) as an alternative diagnostic imaging approach to computed tomography (CT) for patients with suspected acute diverticulitis. This study aimed to quantify the national impact of this approach in cost savings, ED length-of-stay (LOS), and radiation risk mitigation using a POCUS-first approach for acute diverticulitis in the emergency department (ED).

Methods: Using published data, we constructed a Monte Carlo simulation model to compare two POCUS-first strategies (nonselective and selective approaches) for evaluating patients with suspected acute diverticulitis in the ED.

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Implantable systems with chronic stability, high sensing performance, and extensive spatial-temporal resolution are a growing focus for monitoring and treating several diseases such as epilepsy, Parkinson's disease, chronic pain, and cardiac arrhythmias. These systems demand exceptional bendability, scalable size, durable electrode materials, and well-encapsulated metal interconnects. However, existing chronic implantable bioelectronic systems largely rely on materials prone to corrosion in biofluids, such as silicon nanomembranes or metals.

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Key functions of antibodies, such as viral neutralisation, depend on high-affinity binding. However, viral neutralisation poorly correlates with antigen affinity for reasons that have been unclear. Here, we use a new mechanistic model of bivalent binding to study  >45 patient-isolated IgG1 antibodies interacting with SARS-CoV-2 RBD surfaces.

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