Zhejiang University School of Medicine Reports Findings in Gastric Cancer (Machi ne learning models based on quantitative dynamic contrast-enhanced MRI parameter s assess the expression levels of CD3+, CD4+, and CD8+ tumor-infiltrating …)

Robotics & Machine Learning Daily News2024，Issue(Apr.17) ：55-56.

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Zhejiang University School of Medicine Reports Findings in Gastric Cancer (Machi ne learning models based on quantitative dynamic contrast-enhanced MRI parameter s assess the expression levels of CD3+, CD4+, and CD8+ tumor-infiltrating …)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Oncology - Gastric Can cer is the subject of a report. According tonews originating from Shaoxing, Peo ple’s Republic of China, by NewsRx correspondents, research stated,“To explore the effectiveness of machine learning classifiers based on dynamic contrast-enha nced magneticresonance imaging (DCE-MRI) in predicting the expression levels of CD3, CD4 and CD8 tumor-infiltratinglymphocytes (TILs) in patients with advance d gastric cancer (AGC). This study investigated 103 patientswith confirmed AGC through DCE-MRI and immunohistochemical staining.”

Key words

Shaoxing/People’s Republic of China/Asia/Blood Cells/Cancer/Carcinomas/Cyborgs/Emerging Technologies/Gastric Can cer/Gastroenterology/Gastrointestinal/Health and Medicine/Hemic and Immune S ystems/Immunology/Leukocytes/Lymphocytes/Mach

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出版年

2024

Robotics & Machine Learning Daily News

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