摘要
一位新闻记者-机器人与机器学习的工作人员新闻编辑每日新闻-肿瘤学的新研究-乳腺癌是一篇报道的主题。据NewsRx通讯员《来自湘潭的消息》报道，研究表明：“目前已有有限的研究探讨了乳腺癌新辅助化疗患者(NAC)的多组学特征（放射组学、深度学习特征、病理特征和DLG3）的预测价值，但尚未有研究探讨放射组、病理特征和化疗敏感性之间的关系。”
Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-New research on Oncology - Breast Canc er is the subject of a report. According to news originating from Xiangtan, Peop le’s Republic of China, by NewsRx correspondents, research stated, “Limited stud ies have investigated the predictive value of multiomics signatures (radiomics, deep learning features, pathological features and DLG3) in breast cancer patient s who underwent neoadjuvant chemotherapy (NAC). However, no study has explored t he relationships among radiomic, pathomic signatures and chemosensitivity.”
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