Robotics & Machine Learning Daily News2024,Issue(Jul.18) :31-32.

First Affiliated Hospital of Guangxi Medical University Reports Findings in Pers onalized Medicine (Integrated machine learning identifies a cellular senescence- related prognostic model to improve outcomes in uterine corpus endometrial carci noma)

Robotics & Machine Learning Daily News2024,Issue(Jul.18) :31-32.

First Affiliated Hospital of Guangxi Medical University Reports Findings in Pers onalized Medicine (Integrated machine learning identifies a cellular senescence- related prognostic model to improve outcomes in uterine corpus endometrial carci noma)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Drugs and Therapies - Personalized Medicine is the subject of areport. According to news reporting or iginating from Guangxi, People’s Republic of China, by NewsRxcorrespondents, re search stated, “Uterine Corpus Endometrial Carcinoma (UCEC) stands as one of theprevalent malignancies impacting women globally. Given its heterogeneous nature , personalized therapeuticapproaches are increasingly significant for optimizin g patient outcomes.”

Key words

Guangxi/People’s Republic of China/Asi a/Cancer/Carcinomas/Cyborgs/Drugs and Therapies/Emerging Technologies/Endo metrial Cancer/Genetics/Gynecology/Health and Medicine/Machine Learning/Onc ology/Personalized Medicine/Personalized Therapy/Women’s Health

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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