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Intraoperative Augmented Reality for Vitreoretinal Surgery Using Edge Computing.
J Pers Med
January 2025
Department of Ophthalmology, Mayo Clinic, Rochester, MN 55905, USA.
: Augmented reality (AR) may allow vitreoretinal surgeons to leverage microscope-integrated digital imaging systems to analyze and highlight key retinal anatomic features in real time, possibly improving safety and precision during surgery. By employing convolutional neural networks (CNNs) for retina vessel segmentation, a retinal coordinate system can be created that allows pre-operative images of capillary non-perfusion or retinal breaks to be digitally aligned and overlayed upon the surgical field in real time. Such technology may be useful in assuring thorough laser treatment of capillary non-perfusion or in using pre-operative optical coherence tomography (OCT) to guide macular surgery when microscope-integrated OCT (MIOCT) is not available.
View Article and Find Full Text PDFDeregulated ion channels contribute to RHOBTB2-associated developmental and epileptic encephalopathy.
Hum Mol Genet
January 2025
Department of Human Genetics, Inselspital Bern, University of Bern, Freiburgstrasse 15, Bern 3010, Switzerland.
While de novo missense variants in the BTB domains of atypical RhoGTPase RHOBTB2 cause a severe developmental and epileptic encephalopathy, de novo missense variants in the GTPase domain or bi-allelic truncating variants are associated with more variable neurodevelopmental and seizure phenotypes. Apart from the observation of RHOBTB2 abundance resulting from BTB-domain variants and increased seizure susceptibility in Drosophila overexpressing RhoBTB, our knowledge on RHOBTB2-related pathomechanisms is limited. We now found enrichment for ion channels among the differentially expressed genes from RNA-Seq on fly heads overexpressing RhoBTB.
View Article and Find Full Text PDFComparison of transcutaneous bilirubin under patch-covered skin with total serum bilirubin in neonates undergoing phototherapy.
J Trop Pediatr
December 2024
Department of Neonatology, All India Institute of Medical Sciences, Rishikesh, Uttarakhand 249203, India.
Transcutaneous bilirubinometry (TcB) is a recognized tool to monitor neonatal hyperbilirubinemia, demonstrating a high correlation with total serum bilirubin (TSB) before phototherapy. However, once phototherapy is started, TcB may become unreliable. To evaluate the correlation and agreement of TcB measured under variously patched skin at different sites (a coin over the sternum, eye shield over the forehead, and diaper area at the back) with TSB.
View Article and Find Full Text PDFCRMP/UNC-33 maintains neuronal microtubule arrays by promoting individual microtubule rescue.
Curr Biol
January 2025
Department of Biology, Stanford University, Stanford, CA 94305, USA; Howard Hughes Medical Institute, Department of Biology, Stanford University, Stanford, CA 94305, USA. Electronic address:
Microtubules (MTs) are intrinsically dynamic polymers. In neurons, staggered individual microtubules form stable, polarized acentrosomal MT arrays spanning the axon and dendrite to support long-distance intracellular transport. How the stability and polarity of these arrays are maintained when individual MTs remain highly dynamic is still an open question.
View Article and Find Full Text PDFInsights into Landscape Structure Change in Urbanising Rainforest and Guinea Savanna Ecological Regions of Nigeria.
Environ Manage
January 2025
Department of Geoecology, Institute of Geosciences and Geography, Martin Luther University, Halle-Wittenberg, Halle (Saale), Germany.
In the face of unabated urban expansion, understanding the intrinsic characteristics of landscape structure is pertinent to preserving ecological diversity and managing the supply of ecosystem services. This study integrates machine-learning-based geospatial and landscape ecological techniques to assess the dynamics of landscape structure in cities of the rainforest (Akure and Owerri) and Guinea savanna (Makurdi and Minna) ecological regions of Nigeria between 1986 and 2022. Supervised classification using the random forest (RF) machine-learning classifier was performed on Landsat images on the Google Earth Engine (GEE) platform, and landscape metrics were calculated with FRAGSTATS to assess landscape composition, configuration, and connectivity.
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