Work

Uncertainty-aware machine learning to predict non-cancer human toxicity for the global chemicals market

Year: 2025

Type: preprint

Source: Research Square

DOI: 10.21203/rs.3.rs-6103978/v1

Authors: Kerstin von Borries, Katie Beckwith, Jonathan Goodman, Weihsueh Chiu, Olivier Jolliet, Peter Fantke

Institutions: Technical University of Denmark, University of Cambridge, Texas A&M University

Language: English

Topic: Computational Drug Discovery Methods

Subfield: Computational Theory and Mathematics

Field: Computer Science

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: green

Funders: Stiftelsen för Miljöstrategisk Forskning, National Institutes of Health, Engineering and Physical Sciences Research Council

Awards: EPSRC Centre for Doctoral Training in Automated Chemical Synthesis Enabled by Digital Molecular Technologies, G698049571, G8640770329, G8845531966, G9000053967, G9000116430, G9000183856, G9000225865

OpenAlex ID: W4408175362

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