Robotics & Machine Learning Daily News2024,Issue(Feb.14) :90-91.DOI:10.1002/mp.16947

Shanghai Jiao Tong University Reports Findings in Lung Cancer (Value of multi-center 18 F-FDG PET/CT radiomics in predicting EGFR mutation status in lung adenocarcinoma)

Robotics & Machine Learning Daily News2024,Issue(Feb.14) :90-91.DOI:10.1002/mp.16947

Shanghai Jiao Tong University Reports Findings in Lung Cancer (Value of multi-center 18 F-FDG PET/CT radiomics in predicting EGFR mutation status in lung adenocarcinoma)

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Abstract

New research on Oncology - Lung Cancer is the subject of a report. According to news reporting from Shanghai, People’s Republic of China, by NewsRx journalists, research stated, “Accurate, noninvasive, and reliable assessment of epidermal growth factor receptor (EGFR) mutation status and EGFR molecular subtypes is essential for treatment plan selection and individualized therapy in lung adenocarcinoma (LUAD). Radiomics models based on F-FDG PET/CT have great potential in identifying EGFR mutation status and EGFR subtypes in patients with LUAD.”

Key words

Shanghai/People’s Republic of China/Asia/Adenocarcinoma/Cancer/Cyborgs/Emerging Technologies/Epidermal Growth Factor Receptor/Epidermal Growth Factors/Gastrointestinal Hormone Receptors/Gastrointestinal Hormones/Genetics/Growth Factor Receptors/Health and Medicine/Intercellular Signaling Peptides and Proteins/Lung Cancer/Lung Diseases and Conditions/Machine Learning/Membrane Proteins/Oncology/Phosphotransferases/Protein Kinases/Receptor Protein-Tyrosine Kinases

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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