AI Medical Compendium Journal:
Journal of cellular and molecular medicine

Showing 31 to 40 of 49 articles

Integrated machine learning developed a prognosis-related gene signature to predict prognosis in oesophageal squamous cell carcinoma.

Journal of cellular and molecular medicine Nov 1, 2024
The mortality rate of oesophageal squamous cell carcinoma (ESCC) remains high, and conventional TNM systems cannot accurately predict its prognosis, thus necessitating a predictive model. In this study, a 17-gene prognosis-related gene signature (PRS...
Prognosis Female Aged Biomarkers, Tumor Humans Machine Learning Algorithms ROC Curve Gene Expression Regulation, Neoplastic Esophageal Neoplasms Kaplan-Meier Estimate Esophageal Squamous Cell Carcinoma Male Middle Aged Gene Expression Profiling Transcriptome
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Identification of diagnostic biomarkers and immune cell profiles associated with COPD integrated bioinformatics and machine learning.

Journal of cellular and molecular medicine Sep 1, 2024
This retrospective transcriptomic study leveraged bioinformatics and machine learning algorithms to identify novel gene biomarkers and explore immune cell infiltration profiles associated with chronic obstructive pulmonary disease (COPD). Utilizing a...
Machine Learning Biomarkers Retrospective Studies Female Humans Gene Expression Profiling Transcriptome Computational Biology Killer Cells, Natural Chromogranins Aged Pulmonary Disease, Chronic Obstructive Male Middle Aged GTP-Binding Protein alpha Subunits, Gs Adenylyl Cyclases
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Identification of novel M2 macrophage-related molecule ATP6V1E1 and its biological role in hepatocellular carcinoma based on machine learning algorithms.

Journal of cellular and molecular medicine Sep 1, 2024
Hepatocellular carcinoma (HCC) remains the most prevalent form of primary liver cancer, characterized by late detection and suboptimal response to current therapies. The tumour microenvironment, especially the role of M2 macrophages, is pivotal in th...
Biomarkers, Tumor Male Middle Aged Cell Line, Tumor Gene Expression Regulation, Neoplastic Cell Proliferation Kaplan-Meier Estimate Vacuolar Proton-Translocating ATPases Humans Macrophages Liver Neoplasms Machine Learning Prognosis Carcinoma, Hepatocellular Female Tumor Microenvironment
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Machine learning and experimental validation of novel biomarkers for hypertrophic cardiomyopathy and cancers.

Journal of cellular and molecular medicine Aug 1, 2024
Hypertrophic cardiomyopathy (HCM) is a hereditary cardiac disorder marked by anomalous thickening of the myocardium, representing a significant contributor to mortality. While the involvement of immune inflammation in the development of cardiac ailme...
Nomograms Cardiomyopathy, Hypertrophic Biomarkers, Tumor Male Middle Aged Neoplasms Biomarkers Prognosis Female Humans Machine Learning
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Integrating single-cell transcriptomics and machine learning to predict breast cancer prognosis: A study based on natural killer cell-related genes.

Journal of cellular and molecular medicine Aug 1, 2024
Breast cancer (BC) is the most commonly diagnosed cancer in women globally. Natural killer (NK) cells play a vital role in tumour immunosurveillance. This study aimed to establish a prognostic model using NK cell-related genes (NKRGs) by integrating ...
Gene Expression Regulation, Neoplastic Nomograms Killer Cells, Natural Prognosis Female Breast Neoplasms Tumor Microenvironment Biomarkers, Tumor Gene Expression Profiling Transcriptome Single-Cell Analysis Humans Machine Learning
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Unravelling tumour cell diversity and prognostic signatures in cutaneous melanoma through machine learning analysis.

Journal of cellular and molecular medicine Jul 1, 2024
Melanoma, a highly malignant tumour, presents significant challenges due to its cellular heterogeneity, yet research on this aspect in cutaneous melanoma remains limited. In this study, we utilized single-cell data from 92,521 cells to explore the tu...
Immunotherapy Gene Expression Regulation, Neoplastic Skin Neoplasms Cell Proliferation Humans Melanoma, Cutaneous Malignant Biomarkers, Tumor Cluster Analysis Machine Learning Cell Line, Tumor Prognosis Single-Cell Analysis Melanoma
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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...
Lung Neoplasms Immunotherapy Humans Gene Expression Regulation, Neoplastic Neoplastic Stem Cells Biomarkers, Tumor Artificial Intelligence Cell Proliferation Cell Movement Gene Expression Profiling Prognosis Adenocarcinoma of Lung Transcriptome CDC2-CDC28 Kinases Cell Line, Tumor
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Deciphering the tumour microenvironment of clear cell renal cell carcinoma: Prognostic insights from programmed death genes using machine learning.

Journal of cellular and molecular medicine Jul 1, 2024
Clear cell renal cell carcinoma (ccRCC), a prevalent kidney cancer form characterised by its invasiveness and heterogeneity, presents challenges in late-stage prognosis and treatment outcomes. Programmed cell death mechanisms, crucial in eliminating ...
Kidney Neoplasms Carcinoma, Renal Cell Humans Gene Expression Profiling Single-Cell Analysis Gene Expression Regulation, Neoplastic Apoptosis Machine Learning Prognosis Tumor Microenvironment Biomarkers, Tumor
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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...
Prognosis Tumor Microenvironment Biomarkers, Tumor Disease Progression Lung Neoplasms Immunotherapy Gene Expression Regulation, Neoplastic Gene Expression Profiling Single-Cell Analysis Humans Machine Learning 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 Gene Expression Regulation, Neoplastic MicroRNAs Adenocarcinoma of Lung Biomarkers, Tumor Gene Expression Profiling Lung Neoplasms Immunotherapy Humans Machine Learning Prognosis
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