AIMC Topic: Cell-Free Nucleic Acids

Clear Filters Showing 31 to 40 of 41 articles

Peak analysis of cell-free RNA finds recurrently protected narrow regions with clinical potential.

Genome biology May 8, 2025
BACKGROUND: Cell-free RNAs (cfRNAs) can be detected in biofluids and have emerged as valuable disease biomarkers. Accurate identification of the fragmented cfRNA signals, especially those originating from pathological cells, is crucial for understand...
Neoplasms Sequence Analysis, RNA Cell-Free Nucleic Acids Humans Machine Learning Biomarkers, Tumor
View on PubMed DOI

Machine Learning-Based Detection of Bladder Cancer by Urine cfDNA Fragmentation Hotspots that Capture Cancer-Associated Molecular Features.

Clinical chemistry Dec 2, 2024
BACKGROUND: cfDNA fragmentomics-based liquid biopsy is a potential option for noninvasive bladder cancer (BLCA) detection that remains an unmet clinical need.
Urinary Bladder Neoplasms Cell-Free Nucleic Acids Liquid Biopsy Humans Machine Learning Female Male Middle Aged Aged Biomarkers, Tumor
View on PubMed DOI

Noninvasive fetal genotyping using deep neural networks.

Briefings in bioinformatics Nov 22, 2024
Circulating cell-free DNA (cfDNA) is a powerful diagnostics tool that is widely studied in the context of liquid biopsy in oncology and other fields. In obstetrics, maternal plasma cfDNA have already proven its utility, enabling noninvasive prenatal ...
Pregnancy Female Deep Learning Genotype Humans Neural Networks, Computer Fetus Cell-Free Nucleic Acids Prenatal Diagnosis Whole Genome Sequencing Noninvasive Prenatal Testing Genotyping Techniques
View on PubMed DOI

Deep centroid: a general deep cascade classifier for biomedical omics data classification.

Bioinformatics (Oxford, England) Feb 1, 2024
MOTIVATION: Classification of samples using biomedical omics data is a widely used method in biomedical research. However, these datasets often possess challenging characteristics, including high dimensionality, limited sample sizes, and inherent bia...
Transcriptome DNA Methylation Cell-Free Nucleic Acids Machine Learning Precision Medicine Neoplasms Early Detection of Cancer Humans
View on PubMed DOI

Unlocking Early Cancer Detection: Leveraging Machine Learning in Cell-Free DNA Analysis for Precision Oncology.

AMIA ... Annual Symposium proceedings. AMIA Symposium Jan 1, 2024
This study introduces a groundbreaking approach to early cancer detection through the analysis of cell-free DNA (cfDNA), utilizing machine learning algorithms to navigate the complexities of low circulating tumor DNA (ctDNA) fractions and genetic het...
Humans Cell-Free Nucleic Acids Machine Learning Early Detection of Cancer Precision Medicine Algorithms High-Throughput Nucleotide Sequencing Biomarkers, Tumor Circulating Tumor DNA Neoplasms
View on PubMed

Identify gestational diabetes mellitus by deep learning model from cell-free DNA at the early gestation stage.

Briefings in bioinformatics Nov 22, 2023
Gestational diabetes mellitus (GDM) is a common complication of pregnancy, which has significant adverse effects on both the mother and fetus. The incidence of GDM is increasing globally, and early diagnosis is critical for timely treatment and reduc...
Deep Learning Pregnancy Outcome Cell-Free Nucleic Acids beta-Defensins DNA Copy Number Variations Diabetes, Gestational Humans Pregnancy Female
View on PubMed DOI

DISMIR: Deep learning-based noninvasive cancer detection by integrating DNA sequence and methylation information of individual cell-free DNA reads.

Briefings in bioinformatics Nov 5, 2021
Detecting cancer signals in cell-free DNA (cfDNA) high-throughput sequencing data is emerging as a novel noninvasive cancer detection method. Due to the high cost of sequencing, it is crucial to make robust and precise predictions with low-depth cfDN...
DNA, Neoplasm Organ Specificity Nucleotide Motifs Sequence Analysis, DNA DNA Methylation Cell-Free Nucleic Acids High-Throughput Nucleotide Sequencing Liquid Biopsy Early Detection of Cancer Neoplasms Humans Neoplasm Staging Deep Learning Computational Biology
View on PubMed DOI

Tri-modal liquid biopsy: Combinational analysis of circulating tumor cells, exosomes, and cell-free DNA using machine learning algorithm.

Clinical and translational medicine Aug 1, 2021
Humans Machine Learning Exosomes Survival Analysis Cell-Free Nucleic Acids Neoplastic Cells, Circulating Liquid Biopsy Circulating Tumor DNA
View on PubMed DOI

Liver and Lung Transplant Advances.

JAMA Mar 12, 2019
Female Male Severity of Illness Index Delayed Graft Function Humans Machine Learning Prognosis End Stage Liver Disease Liver Transplantation Lung Transplantation Cell-Free Nucleic Acids Waiting Lists Graft Rejection Lung Diseases
View on PubMed DOI

miRandola 2017: a curated knowledge base of non-invasive biomarkers.

Nucleic acids research Jan 4, 2018
miRandola (http://mirandola.iit.cnr.it/) is a database of extracellular non-coding RNAs (ncRNAs) that was initially published in 2012, foreseeing the relevance of ncRNAs as non-invasive biomarkers. An increasing amount of experimental evidence shows ...
Data Curation Humans RNA, Untranslated Biomarkers RNA, Circular User-Computer Interface RNA, Long Noncoding Databases, Genetic Knowledge Bases Cell-Free Nucleic Acids RNA MicroRNAs
View on PubMed DOI
Popular Topics
Recent Journals