AIMC Topic: Adenocarcinoma of Lung

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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 ...
Female Risk Factors Biomarkers, Tumor Male Machine Learning Humans Algorithms Prognosis Respiratory Distress Syndrome Risk Assessment DNA Copy Number Variations Gene Expression Profiling Mutation Lung Neoplasms Adenocarcinoma of Lung Gene Expression Regulation, Neoplastic
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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.
Adenocarcinoma Adenocarcinoma of Lung Sensitivity and Specificity Radiomics Lung Neoplasms Humans Machine Learning Algorithms Retrospective Studies Tomography, X-Ray Computed
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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...
Humans Machine Learning Male Cell Line, Tumor Single-Cell Analysis Lung Neoplasms Prognosis Female Tumor Microenvironment Biomarkers, Tumor Cell Death Immunotherapy Adenocarcinoma of Lung Gene Expression Regulation, Neoplastic Apoptosis
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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...
Deep Learning Lung Neoplasms Mutation Image Interpretation, Computer-Assisted DNA Mutational Analysis ErbB Receptors Adenocarcinoma of Lung Humans Female
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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...
Spatial Analysis Adenocarcinoma of Lung Male Middle Aged Lung Neoplasms Adenocarcinoma Aged Aged, 80 and over Adult Humans Artificial Intelligence Prognosis Female
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Deciphering lung adenocarcinoma prognosis and immunotherapy response through an AI-driven stemness-related gene signature.

Journal of cellular and molecular medicine Jul 1, 2024
Lung adenocarcinoma (LUAD) is a leading cause of cancer-related deaths, and improving prognostic accuracy is vital for personalised treatment approaches, especially in the context of immunotherapy. In this study, we constructed an artificial intellig...
Adenocarcinoma of Lung CDC2-CDC28 Kinases Artificial Intelligence Prognosis Biomarkers, Tumor Gene Expression Regulation, Neoplastic Humans Gene Expression Profiling Cell Proliferation Transcriptome Neoplastic Stem Cells Cell Line, Tumor Cell Movement Lung Neoplasms Immunotherapy
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Integrating machine learning and single-cell analysis to uncover lung adenocarcinoma progression and prognostic biomarkers.

Journal of cellular and molecular medicine Jul 1, 2024
The progression of lung adenocarcinoma (LUAD) from atypical adenomatous hyperplasia (AAH) to invasive adenocarcinoma (IAC) involves a complex evolution of tumour cell clusters, the mechanisms of which remain largely unknown. By integrating single-cel...
Disease Progression Gene Expression Profiling Single-Cell Analysis Machine Learning Lung Neoplasms Prognosis Immunotherapy Humans Tumor Microenvironment Gene Expression Regulation, Neoplastic Biomarkers, Tumor Adenocarcinoma of Lung
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Advancing lung adenocarcinoma prognosis and immunotherapy prediction with a multi-omics consensus machine learning approach.

Journal of cellular and molecular medicine Jul 1, 2024
Lung adenocarcinoma (LUAD) is a tumour characterized by high tumour heterogeneity. Although there are numerous prognostic and immunotherapeutic options available for LUAD, there is a dearth of precise, individualized treatment plans. We integrated mR...
Multiomics Biomarkers, Tumor Humans Gene Expression Regulation, Neoplastic Gene Expression Profiling Machine Learning MicroRNAs Lung Neoplasms Prognosis Adenocarcinoma of Lung Immunotherapy
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[Prediction of recurrence-free survival in lung adenocarcinoma based on self-supervised pre-training and multi-task learning].

Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi Apr 25, 2024
Computed tomography (CT) imaging is a vital tool for the diagnosis and assessment of lung adenocarcinoma, and using CT images to predict the recurrence-free survival (RFS) of lung adenocarcinoma patients post-surgery is of paramount importance in tai...
Humans Lung Neoplasms Neural Networks, Computer Neoplasm Recurrence, Local Tomography, X-Ray Computed Disease-Free Survival Adenocarcinoma of Lung
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Predicting Invasiveness of Lung Adenocarcinoma at Chest CT with Deep Learning Ternary Classification Models.

Radiology Apr 1, 2024
Background Preoperative discrimination of preinvasive, minimally invasive, and invasive adenocarcinoma at CT informs clinical management decisions but may be challenging for classifying pure ground-glass nodules (pGGNs). Deep learning (DL) may improv...
Humans Adenocarcinoma Female Retrospective Studies Adenocarcinoma of Lung Middle Aged Tomography, X-Ray Computed Deep Learning Lung Neoplasms
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