Digital twin of the immune system in pregnancy identifies preterm birth drug combination
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A Stanford Medicine team built SIMCO, a computational 'digital twin' of the immune system during pregnancy, and used it to identify a combination of aspirin and lansoprazole that could prevent preterm birth, showing roughly 15 times the effect of aspirin alone. The model, described in Science Advances, was trained on longitudinal data from 63 pregnancies and about 250 million single-cell measurements. It also revealed immunomodulatory effects of folic acid. The FDA has approved the aspirin-lansoprazole combination for human clinical trials, which will test whether the model's predictions hold in patients.
Written by a model from the reports · updated 4 hours ago
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A Stanford Medicine team reports in Science Advances that SIMCO, a digital twin of the immune system, identified an aspirin-lansoprazole combination that prevented preterm birth 15 times more effectively than aspirin alone. The study drew on longitudinal data from 63 pregnancies and roughly 250 million single-cell measurements. The FDA has approved the combination for human clinical trials, and folic acid was also found to have immunomodulatory effects. DOI: 10.1126/sciadv.aed2741
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