Publications by authors named "M Clay"

Vascular organoids derived from human induced pluripotent stem cells (hiPSCs) recapitulate the cell type diversity and complex architecture of human vascular networks. This three-dimensional (3D) model holds substantial potential for vascular pathology modeling and in vitro drug screening. Despite recent advances, a key technical challenge remains in reproducibly generating organoids with consistent quality, which is crucial for downstream assays and applications.

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Soft tissue myoepithelial tumors (METs) are diagnostically challenging tumors that require careful histologic and immunohistochemical characterization for accurate classification. Nearly half of METs show recurrent EWSR1 or FUS gene rearrangements with a diverse set of fusion partners. The diversity of fusion partners and lack of known driver abnormalities in many cases raises the question of whether METs represent a uniformly distinct tumor entity.

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Article Synopsis
  • Peripheral soft tissue resections can result in challenging wounds that heal slowly and are susceptible to infections, prompting surgeons to use a synthetic electrospun fiber matrix (SEFM) for better repair outcomes.
  • SEFM mimics human extracellular matrix, promoting cell growth and differentiation while also showing the potential to inhibit common bacteria and fungi linked to surgical site infections.
  • Histologic studies suggest that during its degradation, SEFM may appear similar to fungal structures, potentially leading to misdiagnosis and inappropriate treatments; thus, careful evaluation is essential.
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As part of the advancement in therapeutic decision-making for brain tumor patients at St. Jude Children's Research Hospital (SJCRH), we developed three robust classifiers, a deep learning neural network (NN), k-nearest neighbor (kNN), and random forest (RF), trained on a reference series DNA-methylation profiles to classify central nervous system (CNS) tumor types. The models' performance was rigorously validated against 2054 samples from two independent cohorts.

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Aim: To identify whether the introduction of low-low hospital beds resulted in changes in the incidence, associated patient harms and event characteristics of bed-related falls where implemented.

Design: This retrospective quality improvement study covered 36 months: 18 months pre-intervention and 18 months post-intervention.

Methods: Our analysis incorporated patient fall data from a hospital in upstate New York.

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