Skip to main content
. 2021 Jan 3;42(3):295–353. doi: 10.1210/endrev/bnaa035

Figure 2.

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.