AI Medical Compendium Topic

Explore the latest research on artificial intelligence and machine learning in medicine.

T-Cell Exhaustion

Showing 1 to 2 of 2 articles

Clear Filters

Glycosylphosphatidylinositol anchor biosynthesis pathway-based biomarker identification with machine learning for prognosis and T cell exhaustion status prediction in breast cancer.

Frontiers in immunology 39015576
As the primary component of anti-tumor immunity, T cells are prone to exhaustion and dysfunction in the tumor microenvironment (TME). A thorough understanding of T cell exhaustion (TEX) in the TME is crucial for effectively addressing TEX in clinical...
Biomarkers, Tumor Breast Neoplasms CD8-Positive T-Lymphocytes Female Glycosylphosphatidylinositols Humans Lymphocytes, Tumor-Infiltrating Machine Learning Prognosis T-Cell Exhaustion Tumor Microenvironment
View on PubMed DOI

Exploring T-cell exhaustion features in Acute myocardial infarction for a Novel Diagnostic model and new therapeutic targets by bio-informatics and machine learning.

BMC cardiovascular disorders 38783198
BACKGROUND: T-cell exhaustion (TEX), a condition characterized by impaired T-cell function, has been implicated in numerous pathological conditions, but its role in acute myocardial Infarction (AMI) remains largely unexplored. This research aims to i...
Case-Control Studies Computational Biology Databases, Genetic Gene Expression Profiling Gene Regulatory Networks Genetic Markers Humans Machine Learning Myocardial Infarction Predictive Value of Tests Prognosis Protein Interaction Maps T-Cell Exhaustion T-Lymphocytes Transcriptome
View on PubMed DOI
Popular Topics
Recent Journals