Objective
- With the introduction of the new approach methodologies (NAMs) initiative, there is a focus on finding alternatives to animal studies to validate a drug’s safety before administering in humans.
- Quantitative systems toxicology (QST) models are uniquely positioned to address this need. However, these models often rely on inputs from in vitro data with the ideal not always available.
- In this work, kidney toxicity predictions were made using information gathered in a variety of cell lines (kidney and others).
- The objective of this proof of concept was to find ways to strengthen the predictive ability of QST models using less-than-ideal in vitro inputs.
By Celeste Vallejo and Jeffrey L. Woodhead
ACoP 2026, October 11-14, 2026, National Harbor, Maryland