Publications by authors named "J Carnes"

Introduction: Allergen immunotherapy is the only modifying treatment of the natural course of respiratory allergic diseases; however, the lack of evidence leads to little inconclusive results. Real life studies are on the rise and are becoming a valuable tool to confirm and complement findings from clinical trials. The objective of this study was to evaluate the effectiveness and safety of a depigmented-polymerized undiluted subcutaneous extract of grass and olive pollen, under routine clinical practice conditions.

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In this study, we explore the utilization of penalized likelihood estimation for the analysis of sparse photon counting data obtained from distributed target lidar systems. Specifically, we adapt the Poisson Total Variation processing technique to cater to this application. By assuming a Poisson noise model for the photon count observations, our approach yields denoised estimates of backscatter photon flux and related parameters.

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Background: Studying the sensitisation profiles of patients with allergies allows for a deeper understanding of the disease which may facilitate the selection of the best-personalised allergen immunotherapy. This observational, cross-sectional, multicentre study aimed to demonstrate the heterogeneity of the German population with allergies by analysing specific immunoglobulin E (sIgE) patterns towards aeroallergens and exploring the relationship between sensitisation and clinical symptoms.

Methods: In total, 500 patients with allergies from different regions of Germany were recruited based on their case histories, clinical allergic symptoms and skin prick test data for aeroallergens.

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Kinetoplastid pathogens including , , and species, are early diverged, eukaryotic, unicellular parasites. Functional understanding of many proteins from these pathogens has been hampered by limited sequence homology to proteins from other model organisms. Here we describe the development of a high-throughput deep mutational scanning approach in that facilitates rapid and unbiased assessment of the impacts of many possible amino acid substitutions within a protein on cell fitness, as measured by relative cell growth.

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