Robotics & Machine Learning Daily News2024,Issue(Jul.2) :144-145.

First Affiliated Hospital of University of Science and Technology China (USTC) R eports Findings in Artificial Intelligence (Prediction of epidermal growth facto r receptor mutation subtypes in non-small cell lung cancer from hematoxylin and ...)

中国科技大学第一附属医院(USTC)R报告人工智能发现(苏木精和...预测非小细胞肺癌表皮生长因子受体突变亚型)

Robotics & Machine Learning Daily News2024,Issue(Jul.2) :144-145.

First Affiliated Hospital of University of Science and Technology China (USTC) R eports Findings in Artificial Intelligence (Prediction of epidermal growth facto r receptor mutation subtypes in non-small cell lung cancer from hematoxylin and ...)

中国科技大学第一附属医院(USTC)R报告人工智能发现(苏木精和...预测非小细胞肺癌表皮生长因子受体突变亚型)

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摘要

一位新闻记者兼机器人与机器学习的工作人员新闻编辑每日新闻-人工智能的新研究是一篇报道的主题。据NewsRx记者从安徽发回的新闻报道,研究表明:“准确判断表皮生长因子受体(EGFR)突变状态和亚型对于(NSCLC)非小细胞肺癌的治疗至关重要,常规检测EGFR突变的分子检测方法具有局限性。”

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Artificial Intelligenc e is the subject of a report. According to news reporting originating in Anhui, People’s Republic of China, by NewsRx journalists, research stated, “Accurate as sessment of epidermal growth factor receptor (EGFR) mutation status and subtype are critical for the treatment of non-small cell lung cancer (NSCLC) patients. C onventional molecular testing methods for detecting EGFR mutations have limitati ons.”

Key words

Anhui/People's Republic of China/Asia/Artificial Intelligence/Cancer/Emerging Technologies/Epidermal Growth Factor Receptor/Epidermal Growth Factors/Gastrointestinal Hormone Receptors/Gastroi ntestinal Hormones/Genetics/Growth Factor Receptors/Health and Medicine/Hosp itals/Intercellular Signaling Peptides and Proteins/Lung Cancer/Lung Diseases and Conditions/Lung Neoplasms/Machine Learning/Membrane Proteins/Non-Small Cell Lung Cancer/Oncology/Peptide Receptors/Phosphotransferases/Protein Kina ses/Receptor Protein-Tyrosine Kinases

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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