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

Abstract 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 activit...

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Автори: Julia Yuen Hang Liu, John A. Rudd
Формат: Стаття
Мова:English
Опубліковано: Nature Portfolio 2023-04-01
Серія:Scientific Reports
Онлайн доступ:https://doi.org/10.1038/s41598-023-33655-5