AI Medical Compendium Journal:
Journal of cellular and molecular medicine

Showing 11 to 20 of 49 articles

Machine Learning-Assisted Analysis of the Oral Cancer Immune Microenvironment: From Single-Cell Level to Prognostic Model Construction.

Journal of cellular and molecular medicine Jun 1, 2025
Oral cancer is among the most prevalent malignant tumours worldwide; prognosis can be affected by several factors, including molecular subtypes, immune microenvironment and clinical characteristics. In this study, we aimed to apply machine learning m...
Humans Machine Learning Prognosis Middle Aged Single-Cell Analysis Gene Expression Regulation, Neoplastic Mouth Neoplasms Female Tumor Microenvironment Biomarkers, Tumor Male
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Leukaemia Stem Cells and Their Normal Stem Cell Counterparts Are Morphologically Distinguishable by Artificial Intelligence.

Journal of cellular and molecular medicine May 1, 2025
Leukaemia stem cells (LSCs) are a rare population among the bulk of leukaemia cells and are responsible for disease initiation, progression/relapse and insensitivity to therapies in numerous haematologic malignancies. Identification of LSCs and monit...
Hematopoietic Stem Cells Stem Cells Janus Kinase 2 Polycythemia Vera Leukemia Humans Neural Networks, Computer Artificial Intelligence Animals Deep Learning Mice Neoplastic Stem Cells
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Machine Learning Unveils Sphingolipid Metabolism's Role in Tumour Microenvironment and Immunotherapy in Lung Cancer.

Journal of cellular and molecular medicine Apr 1, 2025
TME is a core player in the development of a cancerous lesion, the immune evasive potential of the lesion, and its response to therapy. Sphingolipid metabolism, which governs a number of cellular processes, has been recognised as a player involved in...
Humans Machine Learning Prognosis Sphingolipids Transcriptome Tumor Microenvironment Lung Neoplasms Biomarkers, Tumor Immunotherapy Gene Expression Profiling Gene Expression Regulation, Neoplastic
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A Machine Learning Model for Diagnosing Opportunistic Infections in HIV Patients: Broad Applicability Across Infection Types.

Journal of cellular and molecular medicine Mar 1, 2025
Opportunistic infections (OIs) are the leading cause of hospitalisation and mortality among Human Immunodeficiency Virus-infected (HIV-infected) patients. The diverse pathogen types and intricate clinical manifestations associated present a formidabl...
Adult Male Middle Aged China HIV Infections AIDS-Related Opportunistic Infections Opportunistic Infections Machine Learning Algorithms Retrospective Studies Female Humans
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Machine Learning-Based Glycolipid Metabolism Gene Signature Predicts Prognosis and Immune Landscape in Oesophageal Squamous Cell Carcinoma.

Journal of cellular and molecular medicine Mar 1, 2025
Using machine learning approaches, we developed and validated a novel prognostic model for oesophageal squamous cell carcinoma (ESCC) based on glycolipid metabolism-related genes. Through integrated analysis of TCGA and GEO datasets, we established a...
Animals Gene Expression Profiling Transcriptome Cell Line, Tumor Machine Learning Prognosis Biomarkers, Tumor Esophageal Squamous Cell Carcinoma Mice Gene Expression Regulation, Neoplastic Esophageal Neoplasms Glycolipids Humans
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Constructing a Prognostic Model for Subtypes of Colorectal Cancer Based on Machine Learning and Immune Infiltration-Related Genes.

Journal of cellular and molecular medicine Feb 1, 2025
This study constructed a prognostic model combining machine learning-based immune infiltration-related genes in each CRC subtype. We used publicly accessible gene expression data and clinical information on colorectal cancer patients. Integrated bioi...
Gene Regulatory Networks Computational Biology Gene Expression Regulation, Neoplastic DNA Copy Number Variations Male Gene Expression Profiling ROC Curve Prognosis Female Colorectal Neoplasms Humans Biomarkers, Tumor Machine Learning Algorithms
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A Machine Learning Approach to Build and Evaluate a Molecular Prognostic Model for Endometrial Cancer Based on Tumour Microenvironment.

Journal of cellular and molecular medicine Feb 1, 2025
Endometrial cancer (EC) incidence and the associated tumour burden have increased globally. To build a molecular expression prognostic model based on the tumour microenvironment to guide personalised treatment using a machine learning approach. Two d...
Humans Machine Learning Retrospective Studies Female Aged Random Forest Aged, 80 and over Endometrial Neoplasms Adult Carcinoma, Endometrioid Tumor Microenvironment Biomarkers, Tumor Middle Aged China Nomograms
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Machine Learning Accurately Predicts Muscle Invasion of Bladder Cancer Based on Three miRNAs.

Journal of cellular and molecular medicine Feb 1, 2025
The aim of this study was to validate the diagnostic potential of four previously identified miRNAs in two independent cohorts and to develop accurate classification models to predict invasiveness of bladder cancer. Furthermore, molecular subtypes we...
Machine Learning Neoplasm Invasiveness Female MicroRNAs Aged Biomarkers, Tumor Male Middle Aged Gene Expression Regulation, Neoplastic Urinary Bladder Neoplasms Humans
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Integrative Machine Learning of Glioma and Coronary Artery Disease Reveals Key Tumour Immunological Links.

Journal of cellular and molecular medicine Jan 1, 2025
It is critical to appreciate the role of the tumour-associated microenvironment (TME) in developing strategies for the effective therapy of cancer, as it is an important factor that determines the evolution and treatment response of tumours. This wor...
Gene Expression Regulation, Neoplastic Tumor Microenvironment Humans Glioma Biomarkers, Tumor Coronary Artery Disease Machine Learning Brain Neoplasms Prognosis Genome-Wide Association Study
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Bayesian-optimized deep learning for identifying essential genes of mitophagy and fostering therapies to combat drug resistance in human cancers.

Journal of cellular and molecular medicine Jan 1, 2025
Dysregulated mitophagy is essential for mitochondrial quality control within human cancers. However, identifying hub genes regulating mitophagy and developing mitophagy-based treatments to combat drug resistance remains challenging. Herein, BayeDEM (...
Bayes Theorem Cisplatin Mitochondria Drug Resistance, Neoplasm Humans Neoplasms Apoptosis Deep Learning Mitophagy Osteosarcoma Cell Line, Tumor Genes, Essential Gene Expression Regulation, Neoplastic
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