New study aims to predict stillbirth risk before It's too late
NCT ID NCT07144839
First seen Jun 25, 2026 · Last updated Jun 27, 2026 · Updated 1 time
Summary
This study is gathering information from 640 pregnant people to build a computer model that can predict placental insufficiency — a condition where the placenta doesn't work well and can lead to stillbirth. Participants will have extra ultrasounds and blood tests during pregnancy. The goal is to see if these measurements can reliably identify pregnancies at risk, so doctors can intervene earlier.
What this could mean
Our plain-language read of the trial. This is informational only — not medical advice or a prediction.
- What this could lead to
- If successful, this could lead to a tool that helps doctors identify high-risk pregnancies earlier, potentially preventing stillbirths and other complications.
- What could go wrong
- This is an observational study, not a treatment trial. The model may not prove accurate enough for widespread use, and it will need further validation before changing clinical practice.
This is an AI summary of the original study and may miss details. Read our disclaimer.
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Conditions
The condition(s) this trial relates to.
As listed by the trial registrant
The condition terms exactly as the trial's registrant entered them.
Contacts and locations
Locations
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Oregon Health & Science University
RECRUITINGPortland, Oregon, 97239, United States
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