
Risk Characterization and Probabilistic Concentration–Response Modeling of Complex Environmental Mixtures Using New Approach Methodologies (NAMs) Data from Organotypic in Vitro Human Stem Cell Assays
Author(s) -
NanHung Hsieh,
Zunwei Chen,
Ivan Rusyn,
Weihsueh A. Chiu
Publication year - 2021
Publication title -
environmental health perspectives
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.257
H-Index - 282
eISSN - 1552-9924
pISSN - 0091-6765
DOI - 10.1289/ehp7600
Subject(s) - induced pluripotent stem cell , in vitro toxicology , biological system , mixture model , probabilistic logic , additive function , risk assessment , probabilistic risk assessment , chemical compound , chemistry , toxicology , toxicity , in vitro , computational biology , computer science , biology , biochemistry , embryonic stem cell , mathematics , artificial intelligence , mathematical analysis , computer security , organic chemistry , gene