首页|Tongde Hospital Zhejiang Province Reports Findings in Osteoporosis (A Machine Le arning Framework for Screening Plasma Cell- Associated Feature Genes to Estimate Osteoporosis Risk and Treatment Vulnerability)
Tongde Hospital Zhejiang Province Reports Findings in Osteoporosis (A Machine Le arning Framework for Screening Plasma Cell- Associated Feature Genes to Estimate Osteoporosis Risk and Treatment Vulnerability)
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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.”
HangzhouPeople’s Republic of ChinaAs iaB-LymphocytesBlood CellsBone ResearchCyborgsEmerging TechnologiesG eneticsHealth and MedicineHemic and Immune SystemsImmune SystemImmunolog yLeukocytesMachine LearningMetabolic Bone Diseases and ConditionsMusculo skeletal Diseases and ConditionsOsteoporosisPlasma CellsRisk and Preventio n
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