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Cell-Free Nucleic Acids

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Prediction model for malignant pulmonary nodules based on cfMeDIP-seq and machine learning.

Cancer science 34251068
Cell-free methylated DNA immunoprecipitation and high-throughput sequencing (cfMeDIP-seq) is a new bisulfite-free technique, which can detect the whole-genome methylation of blood cell-free DNA (cfDNA). Using this technique, we identified differentia...
Adult Aged Aged, 80 and over Case-Control Studies Cell-Free Nucleic Acids DNA Methylation Female High-Throughput Nucleotide Sequencing Humans Immunoprecipitation Lung Neoplasms Machine Learning Male Middle Aged Multiple Pulmonary Nodules Prognosis Sensitivity and Specificity
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Tri-modal liquid biopsy: Combinational analysis of circulating tumor cells, exosomes, and cell-free DNA using machine learning algorithm.

Clinical and translational medicine 34459134
Cell-Free Nucleic Acids Circulating Tumor DNA Exosomes Humans Liquid Biopsy Machine Learning Neoplastic Cells, Circulating Survival Analysis
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Comprehensive tissue deconvolution of cell-free DNA by deep learning for disease diagnosis and monitoring.

Proceedings of the National Academy of Sciences of the United States of America 37399400
Plasma cell-free DNA (cfDNA) is a noninvasive biomarker for cell death of all organs. Deciphering the tissue origin of cfDNA can reveal abnormal cell death because of diseases, which has great clinical potential in disease detection and monitoring. D...
Biomarkers Biomarkers, Tumor Cell-Free Nucleic Acids Deep Learning DNA Methylation Humans Promoter Regions, Genetic
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Identify gestational diabetes mellitus by deep learning model from cell-free DNA at the early gestation stage.

Briefings in bioinformatics 38168840
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 Cell-Free Nucleic Acids Deep Learning Diabetes, Gestational DNA Copy Number Variations Female Humans Pregnancy Pregnancy Outcome
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Deep centroid: a general deep cascade classifier for biomedical omics data classification.

Bioinformatics (Oxford, England) 38305432
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...
Cell-Free Nucleic Acids DNA Methylation Early Detection of Cancer Humans Machine Learning Neoplasms Precision Medicine Transcriptome
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The role of cell-free DNA biomarkers and patient data in the early prediction of preeclampsia: an artificial intelligence model.

American journal of obstetrics and gynecology 38432413
BACKGROUND: Accurate individualized assessment of preeclampsia risk enables the identification of patients most likely to benefit from initiation of low-dose aspirin at 12 to 16 weeks of gestation when there is evidence for its effectiveness, and ena...
Adult Artificial Intelligence Biomarkers Cell-Free Nucleic Acids Female Gestational Age Humans Logistic Models Neural Networks, Computer Pre-Eclampsia Predictive Value of Tests Pregnancy Prospective Studies
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Machine learning-enhanced noninvasive prenatal testing of monogenic disorders.

Prenatal diagnosis 38687007
OBJECTIVE: Single-nucleotide variants (SNVs) are of great significance in prenatal diagnosis as they are the leading cause of inherited single-gene disorders (SGDs). Identifying SNVs in a non-invasive prenatal screening (NIPS) scenario is particularl...
Bayes Theorem Cell-Free Nucleic Acids Female Genetic Diseases, Inborn Humans Machine Learning Noninvasive Prenatal Testing Polymorphism, Single Nucleotide Pregnancy
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Prediction of Transcription Factor Binding Sites on Cell-Free DNA Based on Deep Learning.

Journal of chemical information and modeling 38798191
Transcription factors (TFs) are important regulatory elements for vital cellular activities, and the identification of transcription factor binding sites (TFBS) can help to explore gene regulatory mechanisms. Research studies have proved that cfDNA (...
Binding Sites Cell-Free Nucleic Acids Deep Learning DNA Humans Transcription Factors
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A Machine learning model for predicting sepsis based on an optimized assay for microbial cell-free DNA sequencing.

Clinica chimica acta; international journal of clinical chemistry 38710402
OBJECTIVE: To integrate an enhanced molecular diagnostic technique to develop and validate a machine-learning model for diagnosing sepsis.
Aged Cell-Free Nucleic Acids Female Humans Machine Learning Male Middle Aged Prospective Studies Sepsis Sequence Analysis, DNA
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Deep learning model integrating cfDNA methylation and fragment size profiles for lung cancer diagnosis.

Scientific reports 38926407
Detecting aberrant cell-free DNA (cfDNA) methylation is a promising strategy for lung cancer diagnosis. In this study, our aim is to identify methylation markers to distinguish patients with lung cancer from healthy individuals. Additionally, we soug...
Aged Biomarkers, Tumor Cell-Free Nucleic Acids Deep Learning DNA Methylation Female Humans Lung Neoplasms Male Middle Aged ROC Curve
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