Publications by authors named "C N Baker"

Recent advancements in therapeutics and risk reduction in the management of cystic fibrosis have increased the life expectancy of cystic fibrosis patients to the fifth decade of life. As the life expectancy of cystic fibrosis patients has increased, more cystic fibrosis patients have opted to pursue pregnancy. Normal pregnancy is accompanied by physiological changes that affect anesthetic management.

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Introduction: Novel methods for annotating antero-posterior (AP) pelvis radiographs and fluoroscopic images with deep-learning models have recently been developed. However, their clinical use has been limited. Therefore, the purpose of this study was to develop a deep learning model that could annotate clinically relevant pelvic landmarks on both radiographic and fluoroscopic images and automate total hip arthroplasty (THA)-relevant measurements.

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Zebrafish models of genetic epilepsy benefit from the ability to assess disease-relevant knock-out alleles with numerous tools, including genetically encoded calcium indicators (GECIs) and hypopigmentation alleles to improve visualization. However, there may be unintended effects of these manipulations on the phenotypes under investigation. There is also debate regarding the use of stable loss-of-function (LoF) alleles in zebrafish, due to genetic compensation (GC).

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Introduction: The return of foreign fighters's children whose parents joined the so called « islamic state » in the Iraq-Syrian area, had been a very controversial topic. Since 2017, a national procedure in France has been designed to coordinate their care, including a systematic pediatric medical assessment.

Methods: The aim of this cross-sectional study was to assess the prevalence rate of diseases diagnosed at their arrival in France.

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Hydrodynamic radius () is a descriptive metric of protein structure with the potential to impact drug development, disease diagnosis, and other important research areas of molecular biology. Common instrumental methods for molecular size characterization are disadvantageous due to high sample consumption, measurements made in non-physiological conditions, and/or inaccurate size determinations. Capillary Taylor dispersion analysis (TDA) is a molecular sizing method that utilizes nL sample volumes and achieves absolute size determination without calibration or comparison to standards.

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