摘要
一位新闻记者-机器人与机器学习的工作人员新闻编辑每日新闻-人工智能的新研究是一篇报道的主题。根据NewsRx记者从法国巴黎发回的新闻报道，研究表明：“评估SARS-CoV-2对细胞器动力学的影响，可以更好地了解病毒复制的机制。我们将无标记全息照相显微镜和人工智能相结合，可视化和量化SARS-CoV-2感染引起的亚细胞变化。”我们的新闻编辑引用了巴黎大学的研究，“我们研究了数百个单细胞从早期感染到合胞形成和死亡期间核仁、核、脂滴和线粒体的形状、位置和干质量的动态变化。”然后利用贝叶斯网络模型对细胞器干质量状态进行建模，定义细胞器交叉调节网络，并报道感染和共胞体形成引起细胞器交叉调节的变化。
Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-New research on Artificial Intelligenc e is the subject of a report. According to news reporting originating from Paris , France, by NewsRx correspondents, research stated, "Assessing the impact of SA RS-CoV-2 on organelle dynamics allows a better understanding of the mechanisms o f viral replication. We combine label-free holotomographic microscopy with Artif icial Intelligence to visualize and quantify the subcellular changes triggered b y SARS-CoV-2 infection." Our news editors obtained a quote from the research from Universite Paris Cite, "We study the dynamics of shape, position and dry mass of nucleoli, nuclei, lipi d droplets and mitochondria within hundreds of single cells from early infection to syncytia formation and death. SARS-CoV-2 infection enlarges nucleoli, pertur bs lipid droplets, changes mitochondrial shape and dry mass, and separates lipid droplets from mitochondria. We then used Bayesian network modeling on organelle dry mass states to define organelle cross-regulation networks and report modifi cations of organelle cross-regulation that are triggered by infection and syncyt ia formation."
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