AIMC Topic: Cell-Free Nucleic Acids

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Deep Learning/Artificial Intelligence and Blood-Based DNA Epigenomic Prediction of Cerebral Palsy.

International journal of molecular sciences Apr 27, 2019
The etiology of cerebral palsy (CP) is complex and remains inadequately understood. Early detection of CP is an important clinical objective as this improves long term outcomes. We performed genome-wide DNA methylation analysis to identify epigenomic...
CpG Islands Humans Cerebral Palsy Artificial Intelligence Epigenomics DNA Methylation Cell-Free Nucleic Acids Deep Learning ROC Curve Infant, Newborn Gene Expression Profiling Gene Regulatory Networks Case-Control Studies Epigenesis, Genetic
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The potential of circulating tumor DNA methylation analysis for the early detection and management of ovarian cancer.

Genome medicine Dec 22, 2017
BACKGROUND: Despite a myriad of attempts in the last three decades to diagnose ovarian cancer (OC) earlier, this clinical aim still remains a significant challenge. Aberrant methylation patterns of linked CpGs analyzed in DNA fragments shed by cancer...
Sequence Analysis, DNA Adult Humans Ovarian Neoplasms DNA Methylation Female Biomarkers, Tumor Random Allocation Cell-Free Nucleic Acids Aged Middle Aged
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Fetal growth disorders detection during first trimester gestation through comprehensive maternal circulating DNA profiling.

Human molecular genetics Jun 18, 2025
BACKGROUND: Early diagnosis, close follow-up and timely delivery constitute the main elements for appropriate detection and management of Fetal Growth Disorders (FGD). We hypothesized that fetoplacental FGD-associated alterations can be detected in c...
Prospective Studies Biomarkers Pregnancy Female Humans Cell-Free Nucleic Acids Pregnancy Trimester, First Gestational Age Infant, Newborn Fetal Growth Retardation Adult DNA Methylation
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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...
Cell-Free Nucleic Acids Biomarkers, Tumor Neoplasms Sequence Analysis, RNA Humans Machine Learning
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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.
Machine Learning Female Aged Biomarkers, Tumor Humans Cell-Free Nucleic Acids Liquid Biopsy Male Middle Aged Urinary Bladder Neoplasms
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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 ...
Whole Genome Sequencing Genotyping Techniques Fetus Deep Learning Genotype Cell-Free Nucleic Acids Prenatal Diagnosis Noninvasive Prenatal Testing Pregnancy Female Humans Neural Networks, Computer
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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...
DNA Methylation Cell-Free Nucleic Acids Early Detection of Cancer Precision Medicine Neoplasms Humans Transcriptome Machine Learning
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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...
High-Throughput Nucleotide Sequencing Machine Learning Circulating Tumor DNA Algorithms Precision Medicine Cell-Free Nucleic Acids Early Detection of Cancer Biomarkers, Tumor Neoplasms Humans
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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...
beta-Defensins Pregnancy Female Deep Learning DNA Copy Number Variations Diabetes, Gestational Pregnancy Outcome Humans Cell-Free Nucleic Acids
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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...
Neoplasms Deep Learning Computational Biology Cell-Free Nucleic Acids Early Detection of Cancer Sequence Analysis, DNA DNA Methylation Humans DNA, Neoplasm Organ Specificity Neoplasm Staging Nucleotide Motifs High-Throughput Nucleotide Sequencing Liquid Biopsy
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