AIMC Topic: Small Cell Lung Carcinoma

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A Novel Graph Neural Network Methodology to Investigate Dihydroorotate Dehydrogenase Inhibitors in Small Cell Lung Cancer.

Biomolecules Mar 23, 2021
Small cell lung cancer (SCLC) is a particularly aggressive tumor subtype, and dihydroorotate dehydrogenase (DHODH) has been demonstrated to be a therapeutic target for SCLC. Network pharmacology analysis and virtual screening were utilized to find ou...
Neural Networks, Computer Machine Learning Algorithms Molecular Docking Simulation Humans Small Cell Lung Carcinoma Dihydroorotate Dehydrogenase Oxidoreductases Acting on CH-CH Group Donors
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Application of an artificial neural network model for selection of potential lung cancer biomarkers.

Journal of breath research May 6, 2015
Determination of volatile organic compounds (VOCs) in the exhaled breath samples of lung cancer patients and healthy controls was carried out by SPME-GC/MS (solid phase microextraction- gas chromatography combined with mass spectrometry) analyses. In...
Lung Neoplasms Adenocarcinoma Carcinoma, Non-Small-Cell Lung Mass Spectrometry Gas Chromatography-Mass Spectrometry Volatile Organic Compounds Smoking Solid Phase Microextraction Biomarkers, Tumor Male Middle Aged Case-Control Studies Young Adult Adult Sensitivity and Specificity Neural Networks, Computer Breath Tests Exhalation Small Cell Lung Carcinoma Female Aged Aged, 80 and over Humans
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Model development and validation for predicting small-cell lung cancer bone metastasis utilizing diverse machine learning algorithms based on the SEER database.

Medicine Mar 21, 2025
The aim of this study was to devise a machine learning algorithm with superior performance in predicting bone metastasis (BM) in small cell lung cancer (SCLC) and create a straightforward web-based predictor based on the developed algorithm. Data com...
Machine Learning Algorithms Female Aged Humans Lung Neoplasms Bone Neoplasms SEER Program Small Cell Lung Carcinoma Adult Male Middle Aged ROC Curve
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Identification of effective diagnostic genes and immune cell infiltration characteristics in small cell lung cancer by integrating bioinformatics analysis and machine learning algorithms.

Saudi medical journal Aug 1, 2024
OBJECTIVES: To identify potential diagnostic markers for small cell lung cancer (SCLC) and investigate the correlation with immune cell infiltration.
Gene Ontology Small Cell Lung Carcinoma Humans Machine Learning Algorithms Biomarkers, Tumor Gene Expression Profiling Lung Neoplasms Computational Biology
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Machine learning and radiomics for predicting efficacy of programmed cell death protein 1 inhibitor for small cell lung cancer: A multicenter cohort study.

Clinical and translational medicine Jun 1, 2024
Machine Learning Female Aged Radiomics Humans Small Cell Lung Carcinoma Immune Checkpoint Inhibitors Male Lung Neoplasms Middle Aged Treatment Outcome Cohort Studies Programmed Cell Death 1 Receptor
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Differentiating Small-Cell Lung Cancer From Non-Small-Cell Lung Cancer Brain Metastases Based on MRI Using Efficientnet and Transfer Learning Approach.

Technology in cancer research & treatment Jan 1, 2021
Differentiation between small-cell lung cancer (SCLC) from non-small-cell lung cancer (NSCLC) brain metastases is crucial due to the different clinical behaviors of the two tumor types. We propose the use of a deep learning and transfer learning appr...
Image Interpretation, Computer-Assisted Small Cell Lung Carcinoma Male Middle Aged ROC Curve Lung Neoplasms Carcinoma, Non-Small-Cell Lung Follow-Up Studies Magnetic Resonance Imaging Diagnosis, Differential Prognosis Retrospective Studies Female Brain Neoplasms Humans Machine Learning
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Evaluation of Machine Learning Algorithm Utilization for Lung Cancer Classification Based on Gene Expression Levels.

Asian Pacific journal of cancer prevention : APJCP Jan 1, 2016
BACKGROUND: Lung cancer remains one of the most common cancers in the world, both in terms of new cases (about 13% of total per year) and deaths (nearly one cancer death in five), because of the high case fatality. Errors in lung cancer type or malig...
Small Cell Lung Carcinoma Carcinoma, Squamous Cell Biomarkers, Tumor Gene Expression Profiling Case-Control Studies Humans Lung Neoplasms Machine Learning Adenocarcinoma Algorithms Support Vector Machine Databases, Factual Decision Trees
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Use of an Artificial Neural Network to Construct a Model of Predicting Deep Fungal Infection in Lung Cancer Patients.

Asian Pacific journal of cancer prevention : APJCP Jan 1, 2015
BACKGROUND: The statistical methods to analyze and predict the related dangerous factors of deep fungal infection in lung cancer patients were several, such as logic regression analysis, meta-analysis, multivariate Cox proportional hazards model anal...
Follow-Up Studies Aged Neoplasm Staging Aged, 80 and over Mycoses Adult Fungi Male Logistic Models Middle Aged Adenocarcinoma Cross Infection Incidence Carcinoma, Non-Small-Cell Lung Carcinoma, Large Cell Retrospective Studies Small Cell Lung Carcinoma Female Carcinoma, Squamous Cell Humans Risk Factors Neural Networks, Computer ROC Curve Prognosis Lung Neoplasms
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