Predicting drug adverse effects using a new Gastro-Intestinal Pacemaker Activity Drug Database (GIPADD)

Electrical data could be a new source of big-data for training artificial intelligence (AI) for drug discovery. A Gastro-Intestinal Pacemaker Activity Drug Database (GIPADD) was built using a standardized methodology to test drug effects on electrical gastrointestinal (GI) pacemaker activity. The cu...

Descripción completa

Detalles Bibliográficos
Autores principales: Liu, Julia Yuen Hang, Rudd, John A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10147650/
https://www.ncbi.nlm.nih.gov/pubmed/37117211
http://dx.doi.org/10.1038/s41598-023-33655-5

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10147650/
https://www.ncbi.nlm.nih.gov/pubmed/37117211
http://dx.doi.org/10.1038/s41598-023-33655-5

Ejemplares similares