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-机器学习的新研究是一篇报道的主题。据新闻报道来自意大利梅西纳，由新的sRx通讯员，研究称，“快速蒸发电离”(REIMS)与单极手机联用用于外科手术切除联合手术我们的研究组（Mangraviti等人，在Int.J.Mol中）已经对化学计量学进行了探索。Sci 23(18):10562,2022)鉴定几种哺乳动物腺病理。这里，增加的样本量允许建立三个统计模型来区分犬的良恶性MAM MARY肿瘤(CMTs)，有助于更深入地研究细胞代谢的变化肿瘤转化过程中的表型和生物学行为。
Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - New research on Machine Learning is th e subject of a report. According to newsoriginating from Messina, Italy, by New sRx correspondents, research stated, “Rapid evaporative ionizationmass spectrom etry (REIMS) coupled with a monopolar handpiece used for surgical resection and combinedwith chemometrics has been previously explored by our research group (M angraviti et al. in Int J MolSci 23(18):10562, 2022) to identify several mammar y gland pathologies. Here, the increased sample sizeallowed the construction of three statistical models to distinguish between benign and malignant caninemam mary tumours (CMTs), facilitating a more in-depth investigation of changes in ce llular metabolicphenotype during neoplastic transformation and biological behav iour.”
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