Back to search

Article

Early Prediction of Gestational Diabetes Using Integrated Cell-free DNA Features and Omics-derived Genetic Scores

2025-09-05

Abstract excerpt

<h4>Background</h4> Gestational diabetes mellitus (GDM) affects 15.6% of pregnancies globally, with Vietnam exhibiting one of the highest prevalences at 21%. Current diagnostic approaches at 24-28 weeks limit early intervention opportunities. We developed a multi-modal machine learning framework integrating cell-free DNA (cfDNA) structural features and genetic information for early GDM prediction at 10-12 weeks o...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
a79246fd-d19e-5efc-afbb-27ebd6b5be5e
DOI
10.1101/2025.09.03.25334985
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Early Prediction of Gestational Diabetes Using Integrated Cell-free DNA Features and Omics-derived Genetic ScoresDOI 10.1101/2025.09.03.25334985
Select a neighboring publication to make it the new centre.