Publications by authors named "A K Helmers"

A key step in developing engineered B cells for therapeutic purposes is evaluation in immunocompetent, large-animal models. Therefore, we developed methods to purify, expand, and differentiate non-human primate (NHP; rhesus macaque) B cells. After 7 days in culture, B cells expanded 10-fold, differentiated into a plasma cell phenotype (CD38, CD138), and secreted immunoglobulin G.

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Durable mechanical circulatory devices are commonly used to support children and adolescents in end-stage heart failure. However, these patients remain at high risk of acute medical complications, which may lead to significant impairment in functional capacity, altered quality of life, or death. We explore the incorporation of adolescent directives into medical decision-making in this scenario through a clinical case vignette.

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Somatosensory evoked potentials are frequently acquired by stimulation of the median or tibial nerves (mSEPs and tSEPs) for intraoperative monitoring of sensory pathways. Due to their low amplitudes it is common practice to average 200 or more sweeps to discern the evoked potentials from the background EEG. The aim of this study was to investigate if an algorithm designed to determine the lowest sweep count needed to obtain reproducible evoked potentials in each patient significantly reduces the median necessary sweep count to under 200.

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Importance: In the setting of an active pandemic the impact of public vaccine hesitancy on healthcare workers has not yet been explored. There is currently a paucity of literature that examines how patient resistance to disease prevention in general impacts practitioners.

Objectives: The COVID-19 pandemic created unprecedented healthcare challenges with impacts on healthcare workers' wellbeing.

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Dystonia is a neurological movement disorder characterised by abnormal involuntary movements and postures, particularly affecting the head and neck. However, current clinical assessment methods for dystonia rely on simplified rating scales which lack the ability to capture the intricate spatiotemporal features of dystonic phenomena, hindering clinical management and limiting understanding of the underlying neurobiology. To address this, we developed a visual perceptive deep learning framework that utilizes standard clinical videos to comprehensively evaluate and quantify disease states and the impact of therapeutic interventions, specifically deep brain stimulation.

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