Preterm Birth Risk Identified Using NIPT Data

A new research model uses standard first-trimester screening data to identify potential preterm birth risk.

Updated on Sept. 25, 2026 in Pregnancy

Preterm Birth Risk Identified Using NIPT Data

Live Poll

Would you want early AI-based risk screening for pregnancy complications during routine prenatal testing?

Researchers have identified specific patterns in cell-free DNA (cfDNA) fragments that may signal an increased risk for preterm birth. This approach repurposes existing non-invasive prenatal testing (NIPT) data to provide early health insights during pregnancy.

Why it matters

Identifying preterm birth risk early could improve clinical management, though this test remains in the research phase. The findings suggest that existing screening data holds previously untapped potential for predicting pregnancy complications.

A study published in AJOG Global Reports evaluated an end-motif model using NIPT data, achieving an AUC of 0.970. The model reached 94% sensitivity at a specificity threshold above 90% in identifying preterm birth signals among first-trimester samples.

The players

Gene Solutions

A biotechnology company headquartered in Singapore that specializes in genetic testing and NIPT platforms.

The details

The research team applied machine learning to analyze the end motifs—the specific DNA sequence characteristics at the beginning and end of fragments—of circulating cell-free DNA. By using the DNAsphere.AI platform to integrate multi-omic analysis, the investigators identified distinct fragmentation patterns associated with preterm birth. This process allows researchers to extract more biological information from the same blood samples already collected for routine genetic screenings.

Timeline

  1. 2018: Gene Solutions launched the triSure NIPT platform.

  2. September 25, 2026: Gene Solutions announced the publication of the study in AJOG Global Reports.

Health Landscape

This research marks a shift in prenatal care by expanding the utility of established genetic screening technologies. It follows a trend of leveraging multi-omic data to derive predictive insights from routine diagnostic samples.

This investigational tool is not currently for diagnostic use and is not available for clinical practice. If you are concerned about your personal risk for preterm birth, discuss your medical history and current screening options with your obstetrician.

The takeaway

Predicting preterm birth through standard blood tests is an evolving area of research that could one day change prenatal care. In the meantime, focus on attending all scheduled prenatal visits and discussing any history of pregnancy complications with your healthcare provider.

Further reading

For more information on the latest developments in prenatal screenings, visit our Pregnancy section.

More information

Read the Full scientific study in AJOG for detailed methodology and results.

Source note: This article includes information reported by The Queenslander.

Live Poll

Would you want early AI-based risk screening for pregnancy complications during routine prenatal testing?