The Role of cfDNA Biomarkers and Patient Data in the Early Prediction of Preeclampsia: Artificial Intelligence Model

Khalil, A., Bellesia, G., Norton, M. E., Jacobsson, B., Haeri, S., Egbert, M., Malone, F. D., Wapner, R. J., Roman, A., Faro, R., Madankumar, R., Strong, N., Silver, R. M., Vohra, N., Hyett, J., Macpherson, C., Prigmore, B., Ahmed, E., Demko, Z., … Dar, P. (2024). The Role of cfDNA Biomarkers and Patient Data in the Early Prediction of Preeclampsia: Artificial Intelligence Model. American Journal of Obstetrics and Gynecology. https://doi.org/10.1016/j.ajog.2024.02.299
Authors:
Asma Khalil
Giovanni Bellesia
Mary E Norton
Bo Jacobsson
Sina Haeri
Melissa Egbert
Fergal D Malone
Ronald J Wapner
Ashley Roman
Revital Faro
Rajeevi Madankumar
Noel Strong
Robert M Silver
Nidhi Vohra
Jon Hyett
Cora Macpherson
Brittany Prigmore
Ebad Ahmed
Zach Demko
J Bryce Ortiz
Vivienne Souter
Pe'er Dar
Affiliated Authors:
Ronald J Wapner
Columbia Affiliation:
Author Keywords:
cell-free dna
early-onset preeclampsia
fetal fraction
linear neural network
noninvasive prenatal screening
nonlinear neural network
pregnancy
preterm preeclampsia
term preeclampsia
non-invasive prenatal screening
non-linear neural network
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Publication Type:
Article
Unique ID:
10.1016/j.ajog.2024.02.299
PMID:
38432413
DOI:
10.1016/j.ajog.2024.02.299
Journal:
American Journal of Obstetrics and Gynecology
Publication Date:
Data Source:
PubMed
Source Link:
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