<p>PretoxTM: Preclinical text mining system for the extraction of treatment-related findings from toxicology study reports.</p>

Javier Corvi; Nicolás  Díaz Roussel; Pablo Accuosto; José M. Fernández; Emilio Centeno; Francesco Ronzano; Thomas Steger-Hartmann; Laura I. Furlong; Salvador Capella-Gutierrez

doi:10.7490/f1000research.1119508.1

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Corvi J, Díaz Roussel N, Accuosto P et al. PretoxTM: Preclinical text mining system for the extraction of treatment-related findings from toxicology study reports. [version 1; not peer reviewed]. F1000Research 2023, 12(ELIXIR):709 (poster) (https://doi.org/10.7490/f1000research.1119508.1)

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PretoxTM: Preclinical text mining system for the extraction of treatment-related findings from toxicology study reports.

Javier Corvi¹, Nicolás Díaz Roussel¹, Pablo Accuosto, José M. Fernández, Emilio Centeno, Francesco Ronzano, Thomas Steger-Hartmann, Laura I. Furlong, Salvador Capella-Gutierrez¹

Published 20 Jun 2023 (https://doi.org/10.7490/f1000research.1119508.1)

Author Affiliations

¹ Spanish National Bioinformatics Institute (INB/ELIXIR-ES), Life Sciences Department, Barcelona Supercomputing Center, Barcelona, Barcelona, Spain

Copyright © 2023 Corvi J et al. This is an open access work distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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Published 20 Jun 2023

PretoxTM: Preclinical text mining system for the extraction of treatment-related findings from toxicology study reports.
[version 1; not peer reviewed]

Javier Corvi¹, Nicolás Díaz Roussel¹, Pablo Accuosto, José M. Fernández, Emilio Centeno, Francesco Ronzano, Thomas Steger-Hartmann, Laura I. Furlong, Salvador Capella-Gutierrez¹

Author Affiliations

¹ Spanish National Bioinformatics Institute (INB/ELIXIR-ES), Life Sciences Department, Barcelona Supercomputing Center, Barcelona, Barcelona, Spain

Presented at

ELIXIR All Hands 2023

Abstract

Competing Interests

No competing interests were disclosed

Keywords

Natural Language Processing, Text Mining, Toxicology, Preclinical, Compound, Adverse Effect, Animal model

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