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Glaucoma detection and staging from visual field images using machine learning techniques.
PLoS One
January 2025
School of Optometry and Vision Science, UNSW Sydney, Sydney, New South Wales, Australia.
Purpose: In this study, we investigated the performance of deep learning (DL) models to differentiate between normal and glaucomatous visual fields (VFs) and classify glaucoma from early to the advanced stage to observe if the DL model can stage glaucoma as Mills criteria using only the pattern deviation (PD) plots. The DL model results were compared with a machine learning (ML) classifier trained on conventional VF parameters.
Methods: A total of 265 PD plots and 265 numerical datasets of Humphrey 24-2 VF images were collected from 119 normal and 146 glaucomatous eyes to train the DL models to classify the images into four groups: normal, early glaucoma, moderate glaucoma, and advanced glaucoma.
Transforming Medicine: Cutting-Edge Applications of Nanoscale Materials in Drug Delivery.
ACS Nano
January 2025
CAS, a division of the American Chemical Society, Columbus, Ohio 43210, United States.
Since their inception in the early 1960s, the development and use of nanoscale materials have progressed tremendously, and their roles in diverse fields ranging from human health to energy and electronics are undeniable. The application of nanotechnology inventions has revolutionized many aspects of everyday life including various medical applications and specifically drug delivery systems, maximizing the therapeutic efficacy of the contained drugs by means of bioavailability enhancement or minimization of adverse effects. In this review, we utilize the CAS Content Collection, a vast repository of scientific information extracted from journal and patent publications, to analyze trends in nanoscience research relevant to drug delivery in an effort to provide a comprehensive and detailed picture of the use of nanotechnology in this field.
View Article and Find Full Text PDFChanges in blowfly (Diptera: Calliphoridae) wing morphology during succession in rat carcasses across forest and grassland habitats in South Brazil.
Insect Sci
January 2025
Programa de Pós-Graduação em Biodiversidade Animal, Departamento de Ecologia e Evolução, Universidade Federal de Santa Maria, Santa Maria, Brazil.
Succession is one of the most extensively studied ecological phenomena, yet debates persist about the importance of dispersal and external factors in driving this process. We aimed to quantify the influence of these factors by investigating how wing-related traits evolve across succession of blowfly (Diptera: Calliphoridae) communities in South Brazil. Rat carrion was placed in both forest and grassland habitats, and the associated blowfly communities were documented throughout the decomposition process.
View Article and Find Full Text PDFTime-series transcriptome analysis reveals the cascade mechanism of biological processes following the perturbation of the MVA pathway in Salvia miltiorrhiza.
Plant Mol Biol
January 2025
School of Pharmacy, Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan, China.
Various biological processes are interconnected in plants. Transcription factors (TFs) often act as regulatory hubs to regulate plant growth and responses to stress by integrating various biological pathways. Despite extensive studies on TFs functions in various plant species, our understanding of the details of TFs regulation remains limited.
View Article and Find Full Text PDFReproducible, Scale-Up Production of Human Brain Organoids (HBOs) on a Pillar Plate Platform via Spheroid Transfer.
Methods Mol Biol
January 2025
Bioprinting Laboratories Inc., Dallas, TX, USA.
Human brain organoids (HBOs) derived from pluripotent stem cells hold great potential for disease modeling and high-throughput compound screening, given their structural and functional resemblance to fetal brain tissues. These organoids can mimic early stages of brain development, offering a valuable in vitro model to study both normal and disordered neurodevelopment. However, current methods of generating HBOs are often low throughput and variable in organoid differentiation and involve lengthy, labor-intensive processes, limiting their broader application in both academic and industrial research.
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