Robotics & Machine Learning Daily News2024,Issue(Jun.6) :98-98.

Reports from Weill Cornell Medicine Describe Recent Advances in Neoplasms (Compa rison of Three Machine Learning Algorithms for Classification of B-cell Neoplasm s Using Clinical Flow Cytometry Data)

Weill Cornell Medicine的报告描述了肿瘤的最新进展(三种机器学习算法的比较)

Robotics & Machine Learning Daily News2024,Issue(Jun.6) :98-98.

Reports from Weill Cornell Medicine Describe Recent Advances in Neoplasms (Compa rison of Three Machine Learning Algorithms for Classification of B-cell Neoplasm s Using Clinical Flow Cytometry Data)

Weill Cornell Medicine的报告描述了肿瘤的最新进展(三种机器学习算法的比较)

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摘要

由一名新闻记者兼机器人与机器学习每日新闻的工作人员新闻编辑-调查人员讨论肿瘤的新发现。根据NewsRx记者来自纽约的新闻报道,研究表明,“作为标准临床疾病诊断活动的一部分,专家人员对多参数流式细胞术数据进行目视检查。这是一个要求高、成本高的过程,最近的研究表明,在解释过程中利用人工智能(AI)算法是可能的。”这项研究的资助者包括康奈尔大学威尔康奈尔医学院病理和实验室医学系,美国国立卫生研究院(NIH)-美国。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Investigators discuss new findings in Neoplasms. According to news reporting originating from New York City, New York, by NewsRx correspondents, research stated, “Multiparameter flow cytometry data is visually inspected by expert personnel as part of standard clinical disease diagnosis pr actice. This is a demanding and costly process, and recent research has demonstr ated that it is possible to utilize artificial intelligence (AI) algorithms to a ssist in the interpretive process.” Funders for this research include Department of Pathology and Laboratory Medicin e at Weill Cornell Medicine, Cornell University, National Institutes of Health ( NIH) - USA.

Key words

New York City/New York/United States/North and Central America/Algorithms/Cyborgs/Cytometry/Emerging Technologies/Health and Medicine/Machine Learning/Neoplasms/Weill Cornell Medicine

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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