Rationale & Objective: Sharing Patient's Illness Representations to Increase Trust (SPIRIT) is an evidence-based advance care planning intervention targeting dialysis patients and their surrogate decision-makers. To address SPIRIT's implementation potential, we report on a process evaluation in our recently completed five-state cluster-randomized trial.
Study Design: A descriptive study of implementation within a randomized clinical trial.
Purpose: Traditional computer-assisted detection (CADe) algorithms were developed for 2D mammography, while modern artificial intelligence (AI) algorithms can be applied to 2D mammography and/or digital breast tomosynthesis (DBT). The objective is to compare the performance of a traditional machine learning CADe algorithm for synthetic 2D mammography to a deep learning-based AI algorithm for DBT on the same mammograms.
Methods: Mammographic examinations from 764 patients (mean age 58 years ± 11) with 106 biopsy-proven cancers and 658 cancer-negative cases were analyzed by a CADe algorithm (ImageChecker v10.
Co-doped ZIF-8 as a water-stable visible light photocatalyst was prepared by using a one-pot, fast, cost-effective, and environmentally friendly method. The band structure of ZIF-8 was tuned through the incorporation of different percentages of cobalt to attain an optimal band gap ( ) that enables the activation of ZIF-8 under visible light and minimizes the recombination of photogenerated charge carriers. A magnetic composite of Co-doped ZIF-8 was also synthesized to facilitate catalyst recycling and reusability through the application of an external magnetic field.
View Article and Find Full Text PDFSpinal cord injury in humans is a life-changing condition with no effective treatment. However, many non-mammalian vertebrates can fully regenerate their spinal cord after injury. Frogs such as Xenopus can regenerate the spinal cord at larval stages, but lose this capacity at metamorphosis.
View Article and Find Full Text PDFThe human immunodeficiency virus (HIV) remains a major global health concern for which accurate viral load monitoring is essential for the management of HIV infection. The advent of antiretroviral therapy (ART) has transformed once-fatal HIV disease into a manageable chronic condition that now makes the need for VL testing which aims to satisfy international suppression targets 95-95-95 al l the more essential. Therefore, considering the complexity and diversity of HIV infection, it is essential to develop rapid diagnostic technologies suitable for different clinical situations.
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