Figure 2.
Schematic identifying the key gaps and challenges in integrating the knowledge to understand the complex processes and outcomes affected by endocrine-disrupting chemical exposure during pregnancy. These challenges may be potentially overcome through sophisticated statistical modelling involving data science, machine learning and artificial intelligence to ultimately develop effective risk mitigation strategies.