Advances in Causal Understanding for Human Health Risk-Based Decision-Making: Proceedings of a Workshop -- in Brief (2018)Board on Life Sciences
New molecular and bioinformatic approaches have advanced understanding of how molecular pathways are affected by exposure and involved in disease. However, these advances are often not yet deemed sufficient to establish a causal link between an exposure and health outcome for public health risk assessments; regulators still rely primarily on traditional data streams and endpoints, such as those endpoints observed in animal studies.
A March 2017 workshop organized by the Emerging Science for Environmental Health Decisions standing committee discussed the current thinking surrounding causal models within the environmental health field, how novel approaches and tools are being used in other fields, and how they can be incorporated into the environmental health field and decision-making process. This workshop brought together leading environmental health experts, toxicologists, statisticians, sociologists, epidemiologists, regulators and experts from other fields that utilize different data streams for establishing causality in complex systems.