An Integrated, Physiologically Based, Multiscale Platform to Humanise Preclinical Assessment of Fetal Drug Exposure and Toxicity During Pregnancy
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AI plain-English summaryPregnant women and their doctors are making medication decisions based on animal tests that poorly predict human outcomes. The problem is that rodent and rabbit models used in drug development do not recapitulate human pregnancy physiology, leaving the risks of most drugs taken during pregnancy poorly understood. This research programme will build a human-relevant platform to generate safety information early in drug development. The team will create an open-access pregnancy pharmacokinetics database to predict drug exposure across gestation, develop a placenta-on-chip model to track how drugs move through the placental barrier, and analyse molecular data from that chip to identify signatures of drug-induced harm. If successful, this platform could transform how drug safety is assessed during pregnancy, replacing unreliable animal models with human-tissue-based tools. The immediate impact would be on pharmaceutical development pipelines and regulatory safety assessments, giving clinicians and patients clearer, earlier information about which drugs are safe to use during pregnancy. The work also lays groundwork for adding fetal organs-on-chip to the platform in future.
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