Noninvasive Prenatal Testing - AI Medical Compendium

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Self-learning neural network as a prediction model in non-invasive prenatal testing to detect fetal SNVs.

Journal of translational medicine Jul 30, 2024

Humans Neural Networks, Computer Pregnancy Female Fetus Prenatal Diagnosis Noninvasive Prenatal Testing

Machine learning-enhanced noninvasive prenatal testing of monogenic disorders.

Prenatal diagnosis Apr 30, 2024

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...

Humans Machine Learning Pregnancy Female Polymorphism, Single Nucleotide Cell-Free Nucleic Acids Bayes Theorem Genetic Diseases, Inborn Noninvasive Prenatal Testing

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FF-QuantSC: accurate quantification of fetal fraction by a neural network model.

Molecular genetics & genomic medicine Apr 13, 2020

BACKGROUND: Noninvasive prenatal testing (NIPT) is one of the most commonly employed clinical measures for screening of fetal aneuploidy. Fetal Fraction (ff) has been demonstrated to be one of the key factors affecting the performance of NIPT. Accura...

Humans Neural Networks, Computer Software Pregnancy Female Adult Sensitivity and Specificity Sequence Analysis, DNA Noninvasive Prenatal Testing

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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 ...

Humans Neural Networks, Computer Pregnancy Female Deep Learning Genotype Cell-Free Nucleic Acids Whole Genome Sequencing Genotyping Techniques Fetus Prenatal Diagnosis Noninvasive Prenatal Testing

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AIMC Topic: Noninvasive Prenatal Testing

Self-learning neural network as a prediction model in non-invasive prenatal testing to detect fetal SNVs.

Machine learning-enhanced noninvasive prenatal testing of monogenic disorders.

FF-QuantSC: accurate quantification of fetal fraction by a neural network model.

Noninvasive fetal genotyping using deep neural networks.

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AIMC Topic: Noninvasive Prenatal Testing

Self-learning neural network as a prediction model in non-invasive prenatal testing to detect fetal SNVs.

Machine learning-enhanced noninvasive prenatal testing of monogenic disorders.

FF-QuantSC: accurate quantification of fetal fraction by a neural network model.

Noninvasive fetal genotyping using deep neural networks.

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Popular Topics

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