Crossmark

Perspective on applicability of data-driven machine learning computational new approach methodologies for hazard identification in chemicals risk assessment

Crossref DOI link: https://doi.org/10.1186/s13321-026-01184-8

Published Online: 2026-03-26

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Piir, Geven

Sild, Sulev

Tcheremenskaia, Olga

Di Consiglio, Emma

Henriksson, Jörgen

Gajewicz-Skretna, Agnieszka

Mombelli, Enrico

Roncaglioni, Alessandra

Maran, Uko
Funding

Funding for this research was provided by:

European Union through Horizon Europe Health Framework Program (101057014)

Estonian Research Council (PRG1509)

Ministry of Climate, Republic of Estonia (4-4/22/19)

Ministry of Social Affairs, Republic of Estonia (3-4/1593-1, 3-4/2332-1, 3-4/2668-1)
License Information

Text and Data Mining valid from 2026-03-26

Accepted Manuscript valid from 2026-03-26
More Information

Article History

Received: 7 October 2025

Accepted: 10 March 2026

First Online: 26 March 2026

Declarations

:

: The authors declare no competing interests.

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