AIMC Topic: Prognosis

Clear Filters Showing 3421 to 3430 of 3837 articles

Assessment of Serum Creatinine and Serum Sodium Prognostic Potential in Heart Failure Patients Using Machine Learning.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2024
Heart failure (HF) is the leading etiology for hospital admissions and ranks among the foremost contributors to mortality. This complex clinical syndrome with various phenotypes is categorized by left ventricle ejection fraction levels (LVEF), namely...
Middle Aged Creatinine Heart Failure Sodium Prognosis Female Aged Male Humans Machine Learning Biomarkers
View on PubMed DOI

Multi-task Learning Graph Neural Networks for Cancer Prognosis Prediction with Genomic Data.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2024
Providing robust prognosis predictions for cancers with limited data samples remains a challenge for precision oncology. In this study, we propose a novel approach that combines multi-task learning (MTL) and graph neural networks (GNNs) to address th...
Neoplasms Genomics Graph Neural Networks Humans Neural Networks, Computer Algorithms Prognosis
View on PubMed DOI

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...
Machine Learning Prognosis Melanoma Skin Neoplasms Humans Gene Expression Regulation, Neoplastic Cell Proliferation Cluster Analysis Melanoma, Cutaneous Malignant Biomarkers, Tumor Cell Line, Tumor Single-Cell Analysis Immunotherapy
View on PubMed DOI

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...
Immunotherapy Gene Expression Regulation, Neoplastic Cell Proliferation Neoplastic Stem Cells Cell Movement Adenocarcinoma of Lung CDC2-CDC28 Kinases Gene Expression Profiling Transcriptome Cell Line, Tumor Lung Neoplasms Humans Artificial Intelligence Prognosis Biomarkers, Tumor
View on PubMed DOI

Development and validation of a machine learning-based model to predict isolated post-challenge hyperglycemia in middle-aged and elder adults: Analysis from a multicentric study.

Diabetes/metabolism research and reviews Jul 1, 2024
INTRODUCTION: Due to the high cost and complexity, the oral glucose tolerance test is not adopted as the screening method for identifying diabetes patients, which leads to the misdiagnosis of patients with isolated post-challenge hyperglycemia (IPH),...
Humans China Blood Glucose Diabetes Mellitus, Type 2 Hyperglycemia Longitudinal Studies Follow-Up Studies Glucose Tolerance Test Female Aged Male Middle Aged Machine Learning Algorithms Biomarkers Prognosis
View on PubMed DOI

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 Gene Expression Profiling Single-Cell Analysis Gene Expression Regulation, Neoplastic Apoptosis Machine Learning Prognosis Tumor Microenvironment Biomarkers, Tumor Humans
View on PubMed DOI

Deep Learning-Based Dynamic Risk Prediction of Venous Thromboembolism for Patients With Ovarian Cancer in Real-World Settings From Electronic Health Records.

JCO clinical cancer informatics Jul 1, 2024
PURPOSE: Patients with epithelial ovarian cancer (EOC) have an elevated risk for venous thromboembolism (VTE). To assess the risk of VTE, models were developed by statistical or machine learning algorithms. However, few models have accommodated deep ...
Middle Aged Risk Assessment Deep Learning ROC Curve Female Risk Factors Aged Adult Ovarian Neoplasms Carcinoma, Ovarian Epithelial Venous Thromboembolism Humans Neural Networks, Computer Algorithms Prognosis Electronic Health Records Republic of Korea
View on PubMed DOI

Machine learning-based prediction of clinical outcomes after traumatic brain injury: Hidden information of early physiological time series.

CNS neuroscience & therapeutics Jul 1, 2024
AIMS: To assess the predictive value of early-stage physiological time-series (PTS) data and non-interrogative electronic health record (EHR) signals, collected within 24 h of ICU admission, for traumatic brain injury (TBI) patient outcomes.
Machine Learning Prognosis Intensive Care Units Electronic Health Records Humans Glasgow Coma Scale Middle Aged Hospital Mortality Brain Injuries, Traumatic Predictive Value of Tests Female Aged Adult Male
View on PubMed DOI

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...
Adenocarcinoma of Lung Single-Cell Analysis Lung Neoplasms Immunotherapy Gene Expression Regulation, Neoplastic Humans Machine Learning Prognosis Tumor Microenvironment Biomarkers, Tumor Disease Progression Gene Expression Profiling
View on PubMed DOI

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
View on PubMed DOI
Popular Topics
Recent Journals