Dr. John Wambaugh is the Principal Computational Exposure and Toxicokinetics Research Scientist at Chemical Insights. Most of the chemicals people encounter have never undergone formal safety testing. Traditional testing focuses on pharmaceuticals, food additives, and active ingredients in pesticides. Thousands of other chemicals are used in commerce and detected in the environment and in human blood. For these “data-poor” chemicals, new approach methods (NAMs) can provide initial estimates of risk-relevant properties. Both in silico, structure-based NAMs and in vitro NAMs can generate hazard predictions at scale. Complementary exposure NAMs rely on computational tools calibrated against biomonitoring data to estimate daily chemical intake rates. High-throughput toxicokinetics (HTTK) converts hazard NAM concentrations and doses into equivalent daily intake rates necessary to cause hazard. Comparing these two chemical intakes (hazard and exposure) allows for chemical prioritization based on the ratio of NAM-derived points of departure to estimated exposure intake rates. For data poor chemicals, these methods do not need to be perfectly predictive to be useful. They must be protective and sufficiently accurate to triage tens of thousands of chemicals and identify those most in need of further research.