Publications by authors named "O Rodriguez-Nunez"

The kidneys contribute to the overall health of an organism by maintaining systemic homeostasis. This process involves various biological mechanisms, in which the Krüppel-like factors (KLFs), a family of transcription factors, are essential for regulating development, differentiation, proliferation, and cellular apoptosis. They also play a role in the metabolic regulation of essential nutrients, such as glucose and lipids.

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  • * This research utilized imaging Mueller polarimetry to analyze 45 measurements from 27 fresh brain tumor samples, focusing on gliomas, and aimed to improve tumor delineation during neurosurgery.
  • * The study found differences in polarimetric properties between tumor types and brain tissues, and lays groundwork for using machine learning algorithms to enhance brain tumor segmentation and intraoperative diagnosis.
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The CACCC-box motif emerges as a pivotal cis-regulatory element implicated in diverse developmental processes and diseases, particularly cardiovascular diseases (CVDs). This study centers on the intricate interplay between the CACCC-box and its binding proteins such as: the Krüppel-Like Family (KLF) of transcription factors as primary effectors in the context of CVDs. Our analysis was through a bioinformatics approach, which revealed significant transcriptional activity among KLF subgroup 2, exhibiting the highest number of interactions focusing on the established roles: pluripotency, cancer, and cardiovascular development and diseases.

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  • Wide-field imaging Mueller polarimetry offers a non-invasive way to visualize white matter fiber orientations in neurosurgery, but traditional techniques require averaging multiple measurements, making them unsuitable for real-time imaging.
  • A new denoising framework has been developed to enable fast, single-shot acquisitions, significantly improving image quality and accuracy while reducing processing times.
  • Testing on brain samples shows that this method produces clear images with recognizable fiber patterns, potentially enhancing neurosurgical procedures by providing immediate feedback on neuronal structures.
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Significance: Imaging Mueller polarimetry (IMP) appears as a promising technique for real-time delineation of healthy and neoplastic tissue during neurosurgery. The training of machine learning algorithms used for the image post-processing requires large data sets typically derived from the measurements of formalin-fixed brain sections. However, the success of the transfer of such algorithms from fixed to fresh brain tissue depends on the degree of alterations of polarimetric properties induced by formalin fixation (FF).

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