摘要
机器人与机器学习每日新闻-肌肉骨骼疾病和状况的新研究-的新闻记者-工作人员新闻编辑-骨质疏松症是一篇报道的主题。据《中华人民共和国杭州新闻报》记者报道，“骨质疏松症是一个全球性的公共卫生问题。骨密度(BMD)已被广泛用于低骨量和骨质疏松症的诊断。”我们的新闻记者引用了浙江省同德医院的一篇研究文章：“循环单核细胞在骨破坏和骨重塑中起着不可或缺的作用，本文提出了一个基于机器学习的框架来研究循环单核细胞相关基因对骨质疏松患者骨量丢失的影响。”采用广义线性模型、随机森林、极梯度boosting(XGB)和支持向量机进行特征选择，构建人工神经网络和诺模图，探索识别基因的分子机制，SVM优于其他调谐模型，因此，本文研究了几个与骨质疏松症相关的基因(DE FA4,HLA-DPB1,LCN2,HP和GAS7)的表达,并提出了神经网络和诺模图来准确区分低骨密度和高骨密度,估计骨质疏松症的风险。氯氮平,阿司匹林,吡哆醇等被认为是可能的治疗药物。这些基因的表达受miRNAs和mA修饰的广泛转录后调控。此外,它们还参与调节关键的信号通路,如:自噬
Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Musculoskeletal Diseas es and Conditions - Osteoporosis is the subject of a report. According to news o riginating from Hangzhou, People’s Republic of China, by NewsRx correspondents, research stated, “Osteoporosis, in which bones become fragile owing to low bone density and impaired bone mass, is a global public health concern. Bone mineral density (BMD) has been extensively evaluated for the diagnosis of low bone mass and osteoporosis.” Our news journalists obtained a quote from the research from Tongde Hospital Zhe jiang Province, “Circulating monocytes play an indispensable role in bone destru ction and remodeling. This work proposed a machine learning-based framework to i nvestigate the impact of circulating monocyte-associated genes on bone loss in o steoporosis patients. Females with discordant BMD levels were included in the GS E56815, GSE7158, GSE7429, and GSE62402 datasets. Circulating monocyte types were quantified via CIBERSORT, with subsequent selection of plasma cell-associated D EGs. Generalized linear models, random forests, extreme gradient boosting (XGB), and support vector machines were adopted for feature selection. Artificial neur al networks and nomograms were subsequently constructed for osteoporosis diagnos is, and the molecular machinery underlying the identified genes was explored. SV M outperformed the other tuned models; thus, the expression of several genes (DE FA4, HLA-DPB1, LCN2, HP, and GAS7) associated with osteoporosis were determined. ANNs and nomograms were proposed to robustly distinguish low and high BMDs and estimate the risk of osteoporosis. Clozapine, aspirin, pyridoxine, etc. were ide ntified as possible treatment agents. The expression of these genes is extensive ly posttranscriptionally regulated by miRNAs and mA modifications. Additionally, they participate in modulating key signaling pathways, e.g., autophagy.”
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