Published on in Vol 5 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/58439, first published .
Internet-Based Abnormal Chromosomal Diagnosis During Pregnancy Using a Noninvasive Innovative Approach to Detecting Chromosomal Abnormalities in the Fetus: Scoping Review

Internet-Based Abnormal Chromosomal Diagnosis During Pregnancy Using a Noninvasive Innovative Approach to Detecting Chromosomal Abnormalities in the Fetus: Scoping Review

Internet-Based Abnormal Chromosomal Diagnosis During Pregnancy Using a Noninvasive Innovative Approach to Detecting Chromosomal Abnormalities in the Fetus: Scoping Review

Journals

  1. Al Balawi A, Ameen F, Khamis Albalawi L, Hassan Fadel H, Elmetwalli A. Comparative Transcriptome Analysis of Second Trimester Amniotic Fluid and Circulating Fetal Cells for Advancing Non-invasive Trisomy 18 Diagnosis. Journal of Disability Research 2025;4(3) View
  2. Wang Y, Fan R, Yin Y, Liu T. A Machine Learning Approach for Fetal Chromosome Abnormality Identification Based on Multi-Feature Fusion. Journal of Big Data and Computing 2025;3(4):100 View
  3. Suo F, Wang J, Liao M, Wang Y, Zhang Y, Lu X, Gou L, Zhang M, Wu Q, Yin X, Li X, Sun M, Wang L, Gu M, Zhu J. Performance of expanded non-invasive prenatal testing for fetal aneuploidies and copy-number variations in 9,708 pregnancies. Molecular Cytogenetics 2026 View