AI Medical Compendium Topic

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

Single-Cell Analysis

Showing 121 to 130 of 479 articles

Clear Filters

Bulk integrated single-cell-spatial transcriptomics reveals the impact of preoperative chemotherapy on cancer-associated fibroblasts and tumor cells in colorectal cancer, and construction of related predictive models using machine learning.

Biochimica et biophysica acta. Molecular basis of disease Oct 5, 2024
BACKGROUND: Preoperative chemotherapy (PC) is an important component of Colorectal cancer (CRC) treatment, but its effects on the biological functions of fibroblasts and epithelial cells in CRC are unclear.
Prognosis Female Colorectal Neoplasms Male Humans Machine Learning Gene Expression Regulation, Neoplastic Cancer-Associated Fibroblasts Epithelial Cells Receptor, Notch3 Transcriptome Cell Line, Tumor Single-Cell Analysis
View on PubMed DOI

The role of lactylation in plasma cells and its impact on rheumatoid arthritis pathogenesis: insights from single-cell RNA sequencing and machine learning.

Frontiers in immunology Oct 3, 2024
INTRODUCTION: Rheumatoid arthritis (RA) is a chronic autoimmune disorder characterized by persistent synovitis, systemic inflammation, and autoantibody production. This study aims to explore the role of lactylation in plasma cells and its impact on R...
Female Gene Expression Profiling Plasma Cells Humans Male Computational Biology Machine Learning Single-Cell Analysis Middle Aged Sequence Analysis, RNA Biomarkers Arthritis, Rheumatoid
View on PubMed DOI

Machine learning based analysis of single-cell data reveals evidence of subject-specific single-cell gene expression profiles in acute myeloid leukaemia patients and healthy controls.

Biochimica et biophysica acta. Gene regulatory mechanisms Oct 2, 2024
Acute Myeloid Leukaemia (AML) is characterized by uncontrolled growth of immature myeloid cells, disrupting normal blood production. Treatment typically involves chemotherapy, targeted therapy, and stem cell transplantation but many patients develop ...
Gene Expression Regulation, Leukemic Humans Machine Learning Leukemia, Myeloid, Acute Case-Control Studies Single-Cell Analysis Gene Expression Profiling Transcriptome
View on PubMed DOI

scCrab: A Reference-Guided Cancer Cell Identification Method based on Bayesian Neural Networks.

Interdisciplinary sciences, computational life sciences Sep 30, 2024
Cancer is a significant global public health concern, where early detection can greatly enhance curative outcomes. Therefore, the identification of cancer cells holds significant importance as the primary method for cancer diagnosis. The advancement ...
Single-Cell Analysis Computational Biology Bayes Theorem Neural Networks, Computer Algorithms Neoplasms Linear Models Humans
View on PubMed DOI

Integrating cellular experiments, single-cell sequencing, and machine learning to identify endoplasmic reticulum stress biomarkers in idiopathic pulmonary fibrosis.

Annals of medicine Sep 28, 2024
BACKGROUND: Idiopathic Pulmonary Fibrosis (IPF) presents a severe respiratory challenge with a poor prognosis due to the lack of reliable biomarkers. Recent evidence suggests that Endoplasmic Reticulum Stress (ERS) may be associated with IPF pathogen...
Sequence Analysis, RNA Idiopathic Pulmonary Fibrosis Osteopontin Endoplasmic Reticulum Stress Prognosis Gene Expression Profiling Single-Cell Analysis Protein Interaction Maps Humans Machine Learning Biomarkers
View on PubMed DOI

Identification of immune patterns in idiopathic pulmonary fibrosis patients driven by PLA2G7-positive macrophages using an integrated machine learning survival framework.

Scientific reports Sep 27, 2024
Patients with advanced idiopathic pulmonary fibrosis (IPF), a complex and incurable lung disease with an elusive pathology, are nearly exclusive candidates for lung transplantation. Improved identification of patient subtypes can enhance early diagno...
Molecular Docking Simulation Single-Cell Analysis Idiopathic Pulmonary Fibrosis Celecoxib Aged Male Middle Aged Biomarkers Prognosis Female Machine Learning Macrophages Humans
View on PubMed DOI

Identification of Key Genes in Fetal Gut Development at Single-Cell Level by Exploiting Machine Learning Techniques.

Proteomics Sep 26, 2024
The study of fetal gut development is critical due to its substantial influence on immediate neonatal and long-term adult health. Current research largely focuses on microbiome colonization, gut immunity, and barrier function, alongside the impact of...
Gene Expression Regulation, Developmental Single-Cell Analysis Gastrointestinal Tract Fetal Development Machine Learning Algorithms Humans
View on PubMed DOI

Impact of Mitophagy-Related Genes on the Diagnosis and Development of Esophageal Squamous Cell Carcinoma via Single-Cell RNA-seq Analysis and Machine Learning Algorithms.

Journal of microbiology and biotechnology Sep 23, 2024
As a treatment for esophageal squamous cell carcinoma (ESCC), which is common and fatal, mitophagy is a conserved cellular mechanism that selectively removes damaged mitochondria and is crucial for cellular homeostasis. While tumor development and re...
Cell Movement Esophageal Neoplasms Mitochondria Mitochondrial Proteins Mitophagy Esophageal Squamous Cell Carcinoma Apoptosis Regulatory Proteins Single-Cell Gene Expression Analysis Gene Expression Regulation, Neoplastic Cell Proliferation Cell Line, Tumor Single-Cell Analysis RNA-Seq Algorithms Prognosis Biomarkers, Tumor Transcriptome Humans Machine Learning
View on PubMed DOI

Joint inference of discrete cell types and continuous type-specific variability in single-cell datasets with MMIDAS.

Nature computational science Sep 23, 2024
Reproducible definition and identification of cell types is essential to enable investigations into their biological function and to understand their relevance in the context of development, disease and evolution. Current approaches model variability...
Humans Neural Networks, Computer Single-Cell Analysis Computational Biology Cluster Analysis Datasets as Topic Algorithms Brain Animals
View on PubMed DOI

Quantitative characterization of eosinophilia in nasal polyps with AI-based single cell classification.

International forum of allergy & rhinology Sep 20, 2024
Eosinophilic granulocytes have characteristic morphological features. This makes them prime candidates for utilization of a single cell binary classification network. Single cell binary classification networks can reliably help quantify eosinophils i...
Nasal Polyps Eosinophilia Eosinophils Humans Artificial Intelligence Single-Cell Analysis
View on PubMed DOI
Popular Topics
Recent Journals