AIMC Topic: Prognosis

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Ensemble learning guided survival prediction and chemotherapy benefit analysis in high-grade chondrosarcoma: A study based on the surveillance, epidemiology, and end results (SEER) database.

Journal of orthopaedic surgery (Hong Kong) Jan 1, 2025
The chemotherapy benefit for high-grade chondrosarcoma remains controversial. Ensemble learning has better overall performance than single computational approaches for clinical decision. The primary objective was to select prognostic variables and d...
SEER Program Young Adult Chondrosarcoma Adult Child Ensemble Learning Survival Rate Bone Neoplasms Retrospective Studies Male Neoplasm Grading Female Middle Aged Aged Adolescent Humans Machine Learning Prognosis
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Predicting breast cancer prognosis based on a novel pathomics model through CHEK1 expression analysis using machine learning algorithms.

PloS one Jan 1, 2025
BACKGROUND: Checkpoint kinase 1 (CHEK1) is often overexpressed in solid tumors. Nonetheless, the prognostic significance of CHEK1 in breast cancer (BrC) remains unclear. This study used pathomics leverages machine learning to predict BrC prognosis ba...
Checkpoint Kinase 1 Middle Aged Prognosis Gene Expression Regulation, Neoplastic Female Kaplan-Meier Estimate Humans Machine Learning Algorithms Breast Neoplasms Biomarkers, Tumor
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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...
Prognosis Tumor Microenvironment Biomarkers, Tumor Brain Neoplasms Genome-Wide Association Study Gene Expression Regulation, Neoplastic Humans Machine Learning Glioma Coronary Artery Disease
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From Pixels to Prognosis: Artificial Intelligence and Machine Learning Models in Brain Tumour Mutation Prediction.

JPMA. The Journal of the Pakistan Medical Association Jan 1, 2025
Brain tumours are a leading cause of death and disability, impacting individuals across all ages, genders, and ethnicities. They are primarily diagnosed using MRI but a precise diagnosis is dependent on the molecular biology of the tumour studied on ...
Brain Neoplasms Magnetic Resonance Imaging Mutation Artificial Intelligence Machine Learning Prognosis Humans
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Immunoinfiltration Analysis of Mitochondrial Damage-Related Genes in Lung Adenocarcinoma and Construction of a Classification and Prognostic Model Integrated With WGCNA and Machine Learning Algorithms.

Cancer medicine Jan 1, 2025
BACKGROUND: Lung adenocarcinoma (LUAD) exhibits molecular heterogeneity, with mitochondrial damage affecting progression. The relationship between mitochondrial damage and immune infiltration, and Weighted Gene Co-expression Network Analysis (WGCNA)-...
Mitochondria Adenocarcinoma of Lung Computational Biology Gene Expression Regulation, Neoplastic Databases, Genetic Gene Expression Profiling Gene Regulatory Networks Lung Neoplasms Prognosis Biomarkers, Tumor Humans Machine Learning
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Machine Learning Approaches for Neuroblastoma Risk Prediction and Stratification.

Critical reviews in oncogenesis Jan 1, 2025
Machine learning (ML) holds great promise in advancing risk prediction and stratification for neuroblastoma, a highly heterogeneous pediatric cancer. By utilizing large-scale biological and clinical data, ML models can detect complex patterns that tr...
Neuroblastoma Humans Machine Learning Prognosis Risk Assessment
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Artificial Intelligence-Guided Identification of IGFBP7 as a Critical Indicator in Lactic Metabolism Determines Immunotherapy Response in Stomach Adenocarcinoma.

Journal of cellular and molecular medicine Jan 1, 2025
Due to considerable tumour heterogeneity, stomach adenocarcinoma (STAD) has a poor prognosis and varies in response to treatment, making it one of the main causes of cancer-related mortality globally. Recent data point to a significant role for metab...
Prognosis Stomach Neoplasms Biomarkers, Tumor Humans Artificial Intelligence Gene Expression Regulation, Neoplastic Cell Proliferation Adenocarcinoma Cell Movement Male Cell Line, Tumor Immunotherapy Lactic Acid Insulin-Like Growth Factor Binding Proteins
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[Interpretation of the transparent reporting of a multivariable prediction model for individual prognosis or diagnosis based on regression or machine learning methods (TRIPOD+AI)].

Zhonghua nei ke za zhi Jan 1, 2025
Reproducibility of Results Diagnosis Artificial Intelligence Machine Learning Prognosis Humans
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TPD52 as a Therapeutic Target Identified by Machine Learning Shapes the Immune Microenvironment in Breast Cancer.

Journal of cellular and molecular medicine Jan 1, 2025
Breast cancer (BRCA) is one of the most common malignancies and a leading cause of cancer-related mortality among women globally. Despite advances in diagnosis and treatment, the heterogeneity of BRCA presents significant challenges for effective man...
Cell Line, Tumor Single-Cell Analysis Computational Biology Tumor Microenvironment Biomarkers, Tumor Gene Expression Profiling Humans Gene Expression Regulation, Neoplastic Neoplasm Proteins Female Machine Learning Breast Neoplasms Prognosis
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Deep Learning Predicts Subtype Heterogeneity and Outcomes in Luminal A Breast Cancer Using Routinely Stained Whole-Slide Images.

Cancer research communications Jan 1, 2025
A deep learning model, trained using transcriptomic data, inexpensively quantifies and fine-maps ITH due to subtype admixture in routine images of LumA breast cancer, the most favorable subtype. This new approach could facilitate exploration of the m...
Prognosis Female Breast Neoplasms Deep Learning Humans
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