Wisdom of Crowds for Supporting the Safety Evaluation of Nanomaterials.

ABSTRACT: The development of new approach methodologies (NAMs) to replace current in vivo testing for the safety assessment of engineered nanomaterials (ENMs) is hindered by the scarcity of validated experimental data for many ENMs. We introduce a framework to address this challenge by harnessing the collective expertise of professionals from multiple complementary and related fields ("wisdom of crowds" or WoC). By integrating expert insights, we aim to fill data gaps and generate consensus concern scores for diverse ENMs, thereby enhancing the predictive power of nanosafety computational models. Our investigation reveals an alignment between expert opinion and experimental data, providing robust estimations of concern levels. Building upon these findings, we employ predictive machine learnin

SUBMITTER: Saarimaki LA 

PROVIDER: S-EPMC12312164 | biostudies-literature | 2025 Jul

REPOSITORIES: biostudies-literature