Robotics & Machine Learning Daily News2024,Issue(Jul.4) :33-33.

Fudan University Reports Findings in Squamous Cell Carcinoma (Machine learning t o predict lymph node metastasis in T1 esophageal squamous cell carcinoma:a multi center study)

复旦大学报道鳞状细胞癌的发现(机器学习预测T1食管鳞状细胞癌淋巴结转移:一项多中心研究)

Robotics & Machine Learning Daily News2024,Issue(Jul.4) :33-33.

Fudan University Reports Findings in Squamous Cell Carcinoma (Machine learning t o predict lymph node metastasis in T1 esophageal squamous cell carcinoma:a multi center study)

复旦大学报道鳞状细胞癌的发现(机器学习预测T1食管鳞状细胞癌淋巴结转移:一项多中心研究)

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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-鳞状细胞癌是一篇报道的主题。根据NewsRx编辑在中国上海的新闻报道,研究表明:“现有模型在量化(LNM)淋巴结转移风险方面表现不佳。本研究旨在建立一个T1食管鳞状细胞癌(ESCC)患者LNM的机器学习模型。”

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Oncology - Squamous Ce ll Carcinoma is the subject of a report. According to news reporting out of Shan ghai, People’s Republic of China, by NewsRx editors, research stated, “Existing models do poorly when it comes to quantifying the risk of Lymph node metastases (LNM). This study aimed to develop a machine learning model for LNM in patients with T1 esophageal squamous cell carcinoma (ESCC).”

Key words

Shanghai/People’s Republic of China/Asia/Cancer/Carcinomas/Cyborgs/Emerging Technologies/Health and Medicine/Hem ic and Immune Systems/Immunology/Lymph Nodes/Lymphoid Tissue/Machine Learnin g/Oncology/Squamous Cell Carcinoma

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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