Thorac Cardiovasc Surg
August 2023
Background: There is a paucity of data regarding relationships between patient demographics and aneurysm characteristics in the West Indies. With this in mind, a retrospective cross-sectional review was conducted analyzing the computed tomography aortogram reports/images of 273 aortic aneurysms.
Methods: Data were collected and analyzed on ethnicity, size, type, morphology, presence and maximum size of thrombus and aneurysm location, demographics, and clinical presentation with correlations.
Objectives: High-quality research forms the basis of evidence-based practice and sets the foundation for trainees to develop critical thinking skills and approach clinical problems with an inquisitive mind. The attitudes to research however vary widely and there are significant barriers to conducting research relevant to each clinical discipline. Understanding both the attitudes of residents to research and the barriers to conducting research could allow for strategies to improve this core aspect of clinical development.
View Article and Find Full Text PDFMetacells are cell groupings derived from single-cell sequencing data that represent highly granular, distinct cell states. Here we present single-cell aggregation of cell states (SEACells), an algorithm for identifying metacells that overcome the sparsity of single-cell data while retaining heterogeneity obscured by traditional cell clustering. SEACells outperforms existing algorithms in identifying comprehensive, compact and well-separated metacells in both RNA and assay for transposase-accessible chromatin (ATAC) modalities across datasets with discrete cell types and continuous trajectories.
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