MultiGML: Multimodal graph machine learning for prediction of adverse drug events

Adverse drug events constitute a major challenge for the success of clinical trials. Several computational strategies have been suggested to estimate the risk of adverse drug events in preclinical drug development. While these approaches have demonstrated high utility in practice, they are at the sa...

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Detalles Bibliográficos
Autores principales: Krix, Sophia, DeLong, Lauren Nicole, Madan, Sumit, Domingo-Fernández, Daniel, Ahmad, Ashar, Gul, Sheraz, Zaliani, Andrea, Fröhlich, Holger
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10481305/
https://www.ncbi.nlm.nih.gov/pubmed/37681175
http://dx.doi.org/10.1016/j.heliyon.2023.e19441

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10481305/
https://www.ncbi.nlm.nih.gov/pubmed/37681175
http://dx.doi.org/10.1016/j.heliyon.2023.e19441

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