digital twins to prevent premature births

Digital twins to prevent premature births

October 30, 2026

By Nicolas Gutierrez C. THE Subscribers

Stanford researchers have designed a digital twin that, thanks to AI, predicts the effect of drugs on the immune system of pregnant women, an overactivation of which can accelerate the time of delivery.

About one in ten children is born prematurely.

About one in ten children is born prematurely.

Photo by PENG YIKAI / XINHUA / XINHUA VIA AFP

THE premature births Premature births represent the leading cause of death before the age of 5 worldwide, with approximately 1 million deaths each year. Most cases are difficult to predict, as they occur without any prior signs or known risk factors. However, it is known that the mother's immune system may play a role: the end of pregnancy is characterized by a pro-inflammatory state, which can help trigger labor. When this immune shift occurs earlier, the risk of premature birth increases.

To understand how to reduce this risk, Stanford researchers designed a digital twin of the immune system of pregnant women. Their model, presented on October 21, 2026 in Science Advances, allows us to predict immune changes and the timing of delivery… as well as treatments that can postpone the deadline to avoid prematurity.

A digital twin to model pregnancy

Birth PREMATURE

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