Publications by authors named "T R Shepherd"

Diabetes care in Canada is compromised by the lack of resources to adequately address the mental health challenges associated with both type 1 and type 2 diabetes. To address this gap Breakthrough T1D (formerly JDRF) Canada and Diabetes Canada developed a bilingual training program, and associated directory listing successful graduates, to educate and empower existing mental health providers to better provide services to those living with diabetes. This paper reports on the development and initial outcomes of this virtual training program.

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The clinical translation of diffusion magnetic resonance imaging (dMRI)-derived quantitative contrasts hinges on robust reproducibility, minimizing both same-scanner and cross-scanner variability. As multi-site data sets, including multi-shell dMRI, expand in scope, enhancing reproducibility across variable MRI systems and MRI protocols becomes crucial. This study evaluates the reproducibility of diffusion kurtosis imaging (DKI) metrics (beyond conventional diffusion tensor imaging (DTI)), at the voxel and region-of-interest (ROI) levels on magnitude and complex-valued dMRI data, using denoising with and without harmonization.

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A twenty-three-year-old atheist man was admitted to the intensive care unit after a motor vehicle accident left him terminally unconscious. He was not expected to survive long, so his religious mother asked the attending physician to ask someone from the hospital's spiritual care team to perform an emergent baptism. The physician consulted ethical and spiritual services to determine the best course of action.

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Introduction: Variability in blood glucose remains a challenge in diabetic management. Therefore, this review aimed to estimate the overall poor glycemic control and identify its predictors among people living with diabetes in low- and middle-income countries (LMICs).

Methods: The authors searched articles in PubMed, Embase, OVID, CINAHL Plus, Cochrane Library, PsychInfo, Google, and Google Scholar.

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Here, we describe SPoRTS, an open-source workflow for high-throughput spatiotemporal image analysis of fluorescence-based ratiometric biosensors in living spheroids. To achieve this, we have implemented a fully automated algorithm for the acquisition of line intensity profile data, ultimately enabling semi-quantitative measurement of biosensor activity as a function of distance from the center of the spheroid. We demonstrate the functionality of SPoRTS via spatial analysis of live spheroids expressing a ratiometric biosensor based on the fluorescent, ubiquitin-based cell-cycle indicator (FUCCI) system, which identifies mitotic cells.

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