AIMC Topic: Ex-Smokers

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Assessment of associations between clinical and immune microenvironmental factors and tumor mutation burden in resected nonsmall cell lung cancer by applying machine learning to whole-slide images.

Cancer medicine May 12, 2020
BACKGROUND: It is unclear whether clinical factors and immune microenvironment (IME) factors are associated with tumor mutation burden (TMB) in patients with nonsmall cell lung cancer (NSCLC).
Humans Machine Learning Female Carcinoma, Squamous Cell Aged Aged, 80 and over Adult Tumor Microenvironment Male Middle Aged Lung Neoplasms B7-H1 Antigen Antigens, Neoplasm Adenocarcinoma Carcinoma, Non-Small-Cell Lung Lymphocytes, Tumor-Infiltrating Regression Analysis Mutation Forkhead Transcription Factors Carcinoembryonic Antigen Smokers Exome Sequencing Keratin-19 Ex-Smokers Non-Smokers
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Towards large-scale case-finding: training and validation of residual networks for detection of chronic obstructive pulmonary disease using low-dose CT.

The Lancet. Digital health Apr 21, 2020
BACKGROUND: Chronic obstructive pulmonary disease (COPD) is underdiagnosed in the community. Thoracic CT scans are widely used for diagnostic and screening purposes for lung cancer. In this proof-of-concept study, we aimed to evaluate a software pipe...
Humans Neural Networks, Computer Artificial Intelligence Data Analysis Tomography, X-Ray Computed Female Aged Pulmonary Disease, Chronic Obstructive Male Middle Aged Risk Assessment Disease Progression Lung Cohort Studies ROC Curve Image Processing, Computer-Assisted Lung Neoplasms Canada Mass Screening Area Under Curve Models, Biological Smoking Smokers Ex-Smokers
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