AI Diffusion Model-Based Technology for Automating the Multi-Class Labeling of Electron Microscopy Datasets of Brain Cell Organelles for Their Augmentation and Synthetic Generation

A technology for the automatic multi-class labeling of brain electron Organs microscopy (EM) objects needed to create large synthetic datasets, which could be used for brain cell segmentation tasks, is proposed.The main research tools were a generative diffusion AI model and a U-Net-like segmentation model.The technology was studied on the segmenta

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Differential Correlation of Transcriptome Data Reveals Gene Pairs and Pathways Involved in Treatment of Citrobacter rodentium Infection with Bioactive Punicalagin

This study is part of the work investigating bioactive fruit enzymes as sustainable alternatives to parasite anthelmintics that can help reverse the trend of lost efficacy.The study looked to define biological and molecular interactions that demonstrate the ability of the pomegranate extract punicalagin against intracellular parasites.The study com

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