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Pregnancy is a dynamic, multidimensional process requiring precise coordination between maternal, fetal, and placental systems. Traditional reductionist approaches, while valuable, cannot capture the complexity of maternal–neonatal immunology. Systems biology provides a framework to integrate multi-scale data, build predictive models, and design interventions. This chapter introduces systems biology concepts, outlines modeling strategies, and highlights successful applications that include case studies of placental antibody transfer and systems immunology at the maternal–fetal interface.

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Other Engineering Technologies: Systems Biology Approaches for Understanding Maternal–Neonatal Immunology

  • 章节

  • 发表日期：

    2026年

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  • Caitlin M. Sullivan,
  • Sepideh Dolatshahi

摘要

Pregnancy is a dynamic, multidimensional process requiring precise coordination between maternal, fetal, and placental systems. Traditional reductionist approaches, while valuable, cannot capture the complexity of maternal–neonatal immunology. Systems biology provides a framework to integrate multi-scale data, build predictive models, and design interventions. This chapter introduces systems biology concepts, outlines modeling strategies, and highlights successful applications that include case studies of placental antibody transfer and systems immunology at the maternal–fetal interface.