Robotics & Machine Learning Daily News2024,Issue(Jun.18) :97-98.

Research Data from Peking University Update Understanding of Machine Learning (U sing Machine Learning To Construct the Blood-follicle Distribution Models of Var ious Trace Elements and Explore the Transport-related Pathways With Multiomics D ata)

北京大学的研究数据更新了对机器学习的认识(利用机器学习建立多种微量元素的卵泡分布模型,并利用多组学技术探讨转运相关途径)

Robotics & Machine Learning Daily News2024,Issue(Jun.18) :97-98.

Research Data from Peking University Update Understanding of Machine Learning (U sing Machine Learning To Construct the Blood-follicle Distribution Models of Var ious Trace Elements and Explore the Transport-related Pathways With Multiomics D ata)

北京大学的研究数据更新了对机器学习的认识(利用机器学习建立多种微量元素的卵泡分布模型,并利用多组学技术探讨转运相关途径)

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摘要

由一名新闻记者-机器人与机器学习的工作人员新闻编辑每日新闻-调查人员发布了关于马学习的新报告。据《新闻日报》记者在北京报道,研究表明:“各种微量元素(TEs)通过血滤泡屏障(BFB)的通透性在卵母细胞发育过程中起着重要作用,但其涉及的生物学途径尚未得到全面描述。”本研究的资金来源包括:中国科技部国家重点研究与发展计划、中国科学院战略重点研究计划(CategoryB)、国家自然科学基金(NSFC)、云南重大科技项目。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Investigators publish new report on Ma chine Learning. According to news reporting from Beijing, People's Republic of C hina, by NewsRx journalists, research stated, "Permeabilities of various trace e lements (TEs) through the blood-follicle barrier (BFB) play an important role in oocyte development. However, it has not been comprehensively described as well as its involved biological pathways." Financial supporters for this research include National Key Research & Development Program of Ministryof Science and Technology of China, Strategy Prio rity Research Program (CategoryB) of Chinese Academy of Sciences, National Natur al Science Foundation of China (NSFC), Yunnan Major Scientific and Technological Projects.

Key words

Beijing/People's Republic of China/Asi a/Cyborgs/Emerging Technologies/Machine Learning/Peking University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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