Data on Muscular Atrophy Reported by Ying'ao Chen and Colleagues (Deciphering th e environmental chemical basis of muscle quality decline by interpretable machin e learning models)
Data on Muscular Atrophy Reported by Ying'ao Chen and Colleagues (Deciphering th e environmental chemical basis of muscle quality decline by interpretable machin e learning models)
陈等人报告的肌萎缩症资料(用可解释机器学习模型解读肌肉质量下降的环境化学基础)
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摘要
一位新闻记者兼机器人与机器学习每日新闻-肌肉骨骼疾病和条件的新研究-工作人员新闻编辑-肌肉萎缩是一篇报道的主题。根据NewsRx Jour Nists在中华人民共和国浙江发表的NE WS报道，研究表明：“肌肉减少是指骨骼肌质量和功能下降，与年龄有关。肌肉减少与多种健康问题有关，包括与内分泌有关的疾病。”
Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Musculoskeletal Diseas es and Conditions - Muscular Atrophy is the subject of a report. According to ne ws reporting originating in Zhejiang, People’s Republic of China, by NewsRx jour nalists, research stated, “Sarcopenia is known as a decline in skeletal muscle q uality and function that is associated with age. Sarcopenia is linked to diverse health problems, including endocrinerelated diseases.”
Key words
Zhejiang/People's Republic of China/As ia/Age and Ageing Diseases and Conditions/Chemicals/Cyborgs/Emerging Technol ogies/Endocrine Research/Health and Medicine/Machine Learning/Muscular Atrop hy/Musculoskeletal Diseases and Conditions/Nervous System Diseases and Conditi ons/Neurologic Manifestations/Neuromuscular Manifestations/Sarcopenia
NETL
NSTL