Robotics & Machine Learning Daily News2024,Issue(Nov.8) :63-64.

Capital Medical University Reports Findings in Endometriosis (Identification of a disulfidptosis-related genes signature for diagnostic and immune infiltration characteristics in endometriosis)

首都医科大学报告子宫内膜异位症的发现(鉴定)二硫中毒相关基因特征的筛选及其临床意义子宫内膜异位症的免疫浸润特征

Robotics & Machine Learning Daily News2024,Issue(Nov.8) :63-64.

Capital Medical University Reports Findings in Endometriosis (Identification of a disulfidptosis-related genes signature for diagnostic and immune infiltration characteristics in endometriosis)

首都医科大学报告子宫内膜异位症的发现(鉴定)二硫中毒相关基因特征的筛选及其临床意义子宫内膜异位症的免疫浸润特征

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摘要

由一名新闻记者-机器人与机器学习日报的工作人员新闻编辑每日新闻-子宫疾病和疾病的新研究-子宫内膜异位症是一个热门话题报告根据NewsRx从中华人民共和国北京发回的新闻报道通讯员,研究指出:“子宫内膜异位症(EMs)是一种常见的妇科疾病,与子宫内膜异位症、子宫典型特征复杂的发病机制和免疫相关因素。目前还没有有效的EMs的治疗干预"。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Uterine Diseases and C onditions - Endometriosis is the subject ofa report. According to news reportin g originating from Beijing, People’s Republic of China, by NewsRxcorrespondents , research stated, “Endometriosis (EMs) is the prevalent gynecological disease w ith thetypical features of intricate pathogenesis and immune-related factors. C urrently, there is no effectivetherapeutic intervention for EMs.”

Key words

Beijing/People’s Republic of China/Asi a/Cyborgs/Diagnostics and Screening/Emerging Technologies/Endometriosis/Fem ale Genital Diseases and Conditions/Female Urogenital Diseases and Conditions/Genetics/Health and Medicine/Machine Learning

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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