Stanford AI creates digital twin to combat early labor

Stanford researchers use AI to simulate immune systems and find drug combo that delays preterm labor.

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Stanford AI creates digital twin to combat early labor

Stanford researchers use AI to simulate immune systems and find drug combo that delays preterm labor.

In brief

Stanford researchers use AI to simulate immune systems and find drug combo that delays preterm labor. Stanford's AI model shows low-dose aspirin and lansoprazole reduce risk of preterm labor by 15 times over aspirin alone. Originally reported by Sfgate.

Stanford researchers create digital twin

Researchers out of Stanford University have used AI to create a “digital twin” of pregnant women’s immune systems.

Researchers out of Stanford University created a digital twin of pregnant women's immune systems using ai models.

Drug combo may reduce preterm labor risk

Low-dose aspirin and lansoprazole show clear signs of combating immune system dysfunction linked to preterm labor.

Preterm labor affects 1 in 10 US pregnancies

In the U.S., about 1 in 10 pregnant women go into preterm labor before 37 weeks gestation with no warning signs.

Immune system changes during pregnancy

Pregnant women's immune systems weaken early and increase pro-inflammatory markers near delivery to prepare for labor.

Dr. Brice Gaudilliere leads study

Dr. Brice Gaudilliere, Stanford professor of anesthesiology, has studied pregnancy immunology for over 10 years.

AI model shows 15x delay in labor

The drug combo delays labor 15 times higher than aspirin alone in the digital twin system.

FDA approval for Phase 2 trial

The team received FDA approval to start a Phase 2 trial with human patients in coming months.

At a glance

Stanford's AI model shows low-dose aspirin and lansoprazole reduce risk of preterm labor by 15 times over aspirin alone.

Read the original on Sfgate

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