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 | Zendy

NanHung Hsieh | Zendy; Zunwei Chen | Zendy; Ivan Rusyn | Zendy; Weihsueh A. Chiu | Zendy

Open Access

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

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