SYNTHETIC DATA GENERATION VIA GENERATIVE ADVERSARIAL NETWORKS IN HEALTHCARE: A SYSTEMATIC REVIEW OF IMAGE- AND SIGNAL-BASED STUDIES

Synthetic Data Generation via Generative Adversarial Networks in Healthcare: A Systematic Review of Image- and Signal-Based Studies

Generative Adversarial Networks (GANs) have emerged as a powerful tool in artificial intelligence, particularly for unsupervised learning.This systematic review analyzes GAN applications in healthcare, focusing on image and signal-based studies across various clinical domains.Following Preferred Reporting Items for Systematic reviews and Meta-Analy

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Transitioning a Marquee Orientation and Transition Program for Increased New Student Engagement and Retention Amidst the COVID-19 Pandemic

One mid-sized public wedding bands in fresno flagship institution in the Mountain West was forced to abandon a brand-new marquee orientation and transition program, which had contributed to the first increase in first-time student retention numbers in a decade.As educators around the world were faced with similar challenges, three main concerns aro

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Caveolins: Targeting Pro-survival Signaling in the Heart and Brain

prednistab 5mg The present review discusses intracellular signaling moieties specific to membrane lipid rafts (MLRs) and the scaffolding proteins caveolin and introduces current data promoting their potential role in the treatment of pathologies of the heart and brain.MLRs are discreet microdomains of the plasma membrane enriched in gylcosphingolip

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Mapping the architecture of the initiating phosphoglycosyl transferase from S. enterica O-antigen biosynthesis in a liponanoparticle

Bacterial cell surface glycoconjugates are critical for cell survival and for interactions between bacteria and their hosts.Consequently, the pathways responsible for their biosynthesis have untapped potential as therapeutic targets.The localization of many glycoconjugate biosynthesis enzymes to the membrane represents a significant challenge for e

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