Lung Cancer
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Last Posted: May 14, 2024
- The State of State Biomarker Testing Insurance Coverage Laws
- Trial of Electronic Medical Record Integrated Next-Generation Sequencing Ordering in Veterans Affairs Cancer Care.
James H Stoeckle et al. JCO Precis Oncol 2024 8e2300463 - VLST: Virtual Lung Screening Trial for Lung Cancer Detection Using Virtual Imaging Trial.
Fakrul Islam Tushar et al. ArXiv 2024 - Application of machine learning for lung cancer survival prognostication-A systematic review and meta-analysis.
Alexander J Didier et al. Front Artif Intell 2024 71365777 - Application value of the automated machine learning model based on modified CT index combined with serological indices in the early prediction of lung cancer.
Leyuan Meng et al. Front Public Health 2024 121368217 - Predicting the risk of lung cancer using machine learning: A large study based on UK Biobank.
Siqi Zhang et al. Medicine (Baltimore) 2024 103(16) e37879 - Targeted next-generation sequencing of 491 lung cancers in clinical practice: Implications for future detection strategy and targeted therapy.
Xiao-Dan Liu et al. Heliyon 2024 10(6) e27591 - Construction of a predictive model for bone metastasis from first primary lung adenocarcinoma within 3 cm based on machine learning algorithm: a retrospective study.
Yu Zhang et al. PeerJ 2024 12e17098 - Telemedicine-Enhanced Lung Cancer Screening Using Mobile Computed Tomography Unit with Remote Artificial Intelligence Assistance in Underserved Communities: Initial Results of a Population Cohort Study in Western China.
Wenjuan Tao et al. Telemed J E Health 2024 - Real-World Clinical Performance of a DNA-Based Comprehensive Genomic Profiling Assay for Detecting Targetable Fusions in Nonsquamous NSCLC.
Philip C Mack et al. Oncologist 2024 - Potential of radiomics analysis and machine learning for predicting brain metastasis in newly diagnosed lung cancer patients.
S Yichu et al. Clin Radiol 2024 - NSCLC Digital PCR Panel Returns Low-Input Sample Results Where Sequencing Fails.
Leah Rowland Herdt et al. Diagnostics (Basel) 2024 14(3) - Exploring pollutant joint effects in disease through interpretable machine learning.
Shuo Wang et al. J Hazard Mater 2024 467133707 - Genomic Landscape of NSCLC in the Republic of Ireland.
Rachel J Keogh et al. JTO Clin Res Rep 2024 5(2) 100627 - Racial and ethnic disparities in genomic testing among lung cancer patients: a systematic review.
Clare Meernik et al. J Natl Cancer Inst 2024 2 - Real-World Effectiveness of Lung Cancer Screening Using Deep Learning-Based Counterfactual Prediction.
Zheng Feng et al. Stud Health Technol Inform 2024 310419-423 - Concurrent Circulating Tumor DNA and Tissue Genotyping-Ready for Prime Time?
Benjamin A Bleiberg et al. JAMA Netw Open 2024 1 (1) e2351679 - Concurrent Tissue and Circulating Tumor DNA Molecular Profiling to Detect Guideline-Based Targeted Mutations in a Multicancer Cohort.
Wade T Iams et al. JAMA Netw Open 2024 7(1) e2351700 - Editorial: World lung cancer awareness month 2022: artificial intelligence for clinical management of lung cancer.
Parul Agarwal et al. Front Oncol 2024 131351016 - Predicting Phase 1 Lymphoma Clinical Trial Durations Using Machine Learning: An In-Depth Analysis and Broad Application Insights.
Bowen Long et al. Clin Pract 2024 14(1) 69-88
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About Cancer PHGKB
Cancer PHGKB is an online, continuously updated, searchable database of published scientific literature, CDC and NIH resources, and other materials that address the translation of genomic and other precision health discoveries into improved health care and prevention related to cancer...more
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Disclaimer: Articles listed in the Public Health Knowledge Base are selected by Public Health Genomics Branch to provide current awareness of the literature and news. Inclusion in the update does not necessarily represent the views of the Centers for Disease Control and Prevention nor does it imply endorsement of the article's methods or findings. CDC and DHHS assume no responsibility for the factual accuracy of the items presented. The selection, omission, or content of items does not imply any endorsement or other position taken by CDC or DHHS. Opinion, findings and conclusions expressed by the original authors of items included in the update, or persons quoted therein, are strictly their own and are in no way meant to represent the opinion or views of CDC or DHHS. References to publications, news sources, and non-CDC Websites are provided solely for informational purposes and do not imply endorsement by CDC or DHHS.
- Page last reviewed:Feb 1, 2024
- Page last updated:May 18, 2024
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