AI to predict how air pollution harms unborn babies

NCT ID NCT06340971

Recruiting now Knowledge-focused Sponsor: Queen Mary University of London Source: ClinicalTrials.gov ↗

First seen Jun 25, 2026 · Last updated Jun 27, 2026 · Updated 1 time

Summary

This study will use artificial intelligence to analyze health records from 200,000 pregnant women in London, combined with air pollution data, to predict the risk of preterm birth. The goal is to understand when and how pollution exposure is most harmful during pregnancy. Researchers hope to create practical advice, such as safer travel routes, to help pregnant women reduce their exposure.

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 better public health guidance to help pregnant women reduce their exposure to air pollution and lower the risk of preterm birth.
What could go wrong: This is an observational study using existing data, so it cannot prove cause and effect. The AI model may not work perfectly for all groups or locations outside London.

This is an AI summary of the original study and may miss details. Read our disclaimer.

Get updates

Get notified about this study

Sign up to get updates when this study changes or when new studies for PREMATURE BIRTH are added.

Our safety recommendation!

By submitting, you agree to our Terms of use

Conditions

The condition(s) this trial relates to.

Premature Birth

As listed by the trial registrant

The condition terms exactly as the trial's registrant entered them.

PREMATURE BIRTH

Contacts and locations

Locations

Anna David
RECRUITING

London, NW1 2PG, United Kingdom
Tina Chowdhury
RECRUITING

London, E14NS, United Kingdom

More trials for these conditions

Other studies related to the condition(s) this trial covers.