Human vs. cells vs. machine: A comparative analysis of toxicological points of departure derived from quantitative read-across (qRAx), in vitro data, and In silico predictions
Weihsueh A. Chiu, Hannah M. Roe, Ivan Rusyn · 2026
Read Human vs. cells vs. machine: A comparative analysis of toxicological points of departure derived from quantitative read-across (qRAx), in vitro data, and In silico predictions by Weihsueh A. Chiu, Hannah M. Roe, Ivan Rusyn (2026) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/pmc-13425230.txt.
Description
Weihsueh Chiu, Hannah Roe, and Ivan Rusyn compare three ways of setting safe exposure levels for chemicals that lack animal test data. Regulators need a point of departure, the dose where harm begins, and new methods promise to supply it without new animal studies. For 41 chemicals with expert read-across values, the team also derived levels from cell tests, from a calibrated database method, and from structure-based computer models.
The expert method succeeded for 83 percent of chemicals and was usually the most cautious. Cell tests managed only 22 percent. Combining methods in tiers covered over 90 percent of cases and landed within a factor of ten of the expert values, which the authors say supports their use in urgent decisions.
Catalog record
| CREATOR | Weihsueh A. Chiu, Hannah M. Roe, Ivan Rusyn |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 39 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |