首页|First Affiliated Hospital of Shandong First Medical University Reports Findings in Machine Learning (Machine learning-based radiomics strategy for prediction of acquired EGFR T790M mutation following treatment with EGFR-TKI in NSCLC)

First Affiliated Hospital of Shandong First Medical University Reports Findings in Machine Learning (Machine learning-based radiomics strategy for prediction of acquired EGFR T790M mutation following treatment with EGFR-TKI in NSCLC)

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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Machine Learning is the subject of a report. According to newsreporting originating from Shandong, People’s Republic of China, by NewsRx correspondents, researchstated, “The epidermal growth factor receptor (EGFR) Thr790 Met (T790M) mutation is responsible forapproximately half of the acquired resistance to EGFR-tyrosine kinase inhibitor (TKI) in non-small-cell lungcancer (NSCLC) patients. Identifying patients at diagnosis who are likely to develop this mutation afterfirst- or second-generation EGFR-TKI treatment is crucial for better treatment outcomes.”

ShandongPeople’s Republic of ChinaAsiaCyborgsDiagnostics and ScreeningEmerging TechnologiesEpidermal Growth Factor ReceptorEpidermal GrowthFactorsGastrointestinal Hormone ReceptorsGastrointestinal HormonesGeneticsGrowth Factor ReceptorsHealth and MedicineIntercellular Signaling Peptides and ProteinsMachine LearningMembrane ProteinsPhosphotransferasesProtein KinasesReceptor Protein-Tyrosine Kinases

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN：
年,卷(期)：2024.(Jan.11)