AIMC Topic: Lung Neoplasms

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Machine Learning Enabled Prediction of Biologically Relevant Gene Expression Using CT-Based Radiomic Features in Non-Small Cell Lung Cancer.

Cancer medicine Dec 1, 2024
BACKGROUND: Non-small-cell lung cancer (NSCLC) remains a global health challenge, driving morbidity and mortality. The emerging field of radiogenomics utilizes statistical methods to correlate radiographic tumor features with genomic characteristics ...
Humans Machine Learning Retrospective Studies Biomarkers, Tumor Male Middle Aged Gene Expression Profiling Lung Neoplasms Tomography, X-Ray Computed Female Aged Radiomics Gene Expression Regulation, Neoplastic Carcinoma, Non-Small-Cell Lung
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Explainable Machine Learning Predictions for the Benefit From Chemotherapy in Advanced Non-Small Cell Lung Cancer Without Available Targeted Mutations.

The clinical respiratory journal Dec 1, 2024
BACKGROUND: Non-small cell lung cancer (NSCLC) is a global health challenge. Chemotherapy remains the standard therapy for advanced NSCLC without mutations, but drug resistance often reduces effectiveness. Developing more effective methods to predict...
Lymphocytes Adult Male Middle Aged Prognosis China Lung Neoplasms Neutrophils Humans Retrospective Studies Carcinoma, Non-Small-Cell Lung Machine Learning Female Mutation Antineoplastic Combined Chemotherapy Protocols Aged
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Building a Risk Scoring Model for ARDS in Lung Adenocarcinoma Patients Using Machine Learning Algorithms.

Journal of cellular and molecular medicine Dec 1, 2024
Lung adenocarcinoma (LUAD), the predominant form of non-small-cell lung cancer, is frequently complicated by acute respiratory distress syndrome (ARDS), which increases mortality risks. Investigating the prognostic implications of ARDS-related genes ...
Prognosis Female Risk Factors Biomarkers, Tumor Humans Machine Learning Algorithms Gene Expression Regulation, Neoplastic Male DNA Copy Number Variations Respiratory Distress Syndrome Risk Assessment Mutation Gene Expression Profiling Adenocarcinoma of Lung Lung Neoplasms
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[Application of CT Radiomics in Predicting Differentiation Level of Lung Adenocarcinoma].

Zhongguo yi liao qi xie za zhi = Chinese journal of medical instrumentation Nov 30, 2024
OBJECTIVE: To investigate the value of prediction of the differentiation level in lung adenocarcinoma based on CT radiomics model.
Retrospective Studies Tomography, X-Ray Computed Adenocarcinoma Sensitivity and Specificity Humans Adenocarcinoma of Lung Radiomics Machine Learning Lung Neoplasms Algorithms
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Phantom evaluation of feasibility and applicability of artificial intelligence based pulmonary nodule detection in chest radiographs.

Medicine Nov 22, 2024
The aim of our study was to evaluate the specific performance of an artificial intelligence (AI) algorithm for lung nodule detection in chest radiography for a larger number of nodules of different sizes and densities using a standardized phantom app...
Solitary Pulmonary Nodule Radiographic Image Interpretation, Computer-Assisted Feasibility Studies Radiography, Thoracic Tomography, X-Ray Computed Sensitivity and Specificity Humans Lung Neoplasms Artificial Intelligence Multiple Pulmonary Nodules Phantoms, Imaging Algorithms
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Unveiling Varied Cell Death Patterns in Lung Adenocarcinoma Prognosis and Immunotherapy Based on Single-Cell Analysis and Machine Learning.

Journal of cellular and molecular medicine Nov 1, 2024
Programmed cell death (PCD) pathways hold significant influence in the etiology and progression of a variety of cancer forms, particularly offering promising prognostic markers and clues to drug sensitivity for lung adenocarcinoma (LUAD) patients. We...
Male Cell Line, Tumor Single-Cell Analysis Lung Neoplasms Immunotherapy Gene Expression Regulation, Neoplastic Apoptosis Cell Death Prognosis Female Tumor Microenvironment Biomarkers, Tumor Humans Adenocarcinoma of Lung Machine Learning
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Machine Learning Models to Predict Bone Metastasis Risk in Patients With Lung Cancer.

Cancer medicine Nov 1, 2024
INTRODUCTION: The aim of this study was to find the most appropriate variables to input into machine learning algorithms to identify those patients with primary lung malignancy with high risk for metastasis to the bone.
Male Middle Aged Female Risk Assessment Lung Neoplasms Risk Factors Humans Bone Neoplasms Aged Machine Learning Neoplasm Staging Aged, 80 and over Algorithms
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An Integrated Nomogram Combining Deep Learning and Radiomics for Predicting Malignancy of Pulmonary Nodules Using CT-Derived Nodules and Adipose Tissue: A Multicenter Study.

Cancer medicine Nov 1, 2024
BACKGROUND: Correctly distinguishing between benign and malignant pulmonary nodules can avoid unnecessary invasive procedures. This study aimed to construct a deep learning radiomics clinical nomogram (DLRCN) for predicting malignancy of pulmonary no...
Nomograms Multiple Pulmonary Nodules Solitary Pulmonary Nodule Adipose Tissue Male Middle Aged Humans Deep Learning Retrospective Studies Lung Neoplasms Tomography, X-Ray Computed Female Aged Adult Radiomics
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Deep learning-based analysis of EGFR mutation prevalence in lung adenocarcinoma H&E whole slide images.

The journal of pathology. Clinical research Nov 1, 2024
EGFR mutations are a major prognostic factor in lung adenocarcinoma. However, current detection methods require sufficient samples and are costly. Deep learning is promising for mutation prediction in histopathological image analysis but has limitati...
Adenocarcinoma of Lung Mutation Image Interpretation, Computer-Assisted DNA Mutational Analysis ErbB Receptors Humans Female Deep Learning Lung Neoplasms
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Establishment of artificial intelligence model for precise histological subtyping of lung adenocarcinoma and its application to quantitative and spatial analysis.

Japanese journal of clinical oncology Sep 4, 2024
BACKGROUND: The histological subtype of lung adenocarcinoma is a major prognostic factor. We developed a new artificial intelligence model to classify lung adenocarcinoma images into seven histological subtypes and adopted the model for whole-slide i...
Middle Aged Aged Adenocarcinoma of Lung Humans Lung Neoplasms Aged, 80 and over Artificial Intelligence Adenocarcinoma Adult Prognosis Spatial Analysis Male Female
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