Peking Union Medical College Hospital Reports Findings in Lung Cancer (Prognosti c model incorporating immune checkpoint genes to predict the immunotherapy effic acy for lung adenocarcinoma: a cohort study integrating machine learning algorit hms)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – New research on Oncology - Lung Cancer is the sub ject of a report. According to news reporting out of Beijing, People’s Republic of China, by NewsRx editors, research stated, “This study aimed to develop and v alidate a nomogram based on immune checkpoint genes (ICGs) for predicting progno sis and immune checkpoint blockade (ICB) efficacy in lung adenocarcinoma (LUAD) patients. A total of 385 LUAD patients from the TCGA database and 269 LUAD patie nts in the combined dataset (GSE41272 + GSE50081) were divided into training and validation cohorts, respectively.”

Key words

Beijing/People’s Republic of China/Asi a/Adenocarcinoma/Algorithms/Biomarkers/Cancer/Clinical Research/Clinical T rials and Studies/Cyborgs/Diagnostics and Screening/Drugs and Therapies/Emer ging Technologies/Genetics/Health and Medicine/Immunotherapy/Lung Cancer/Lu ng Diseases and Conditions/Machine Learning/Oncology/Therapy

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出版年

2024

Robotics & Machine Learning Daily News

ISSN：

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