Predicting Successes and Failures of Clinical Trials With Outer Product–Based Convolutional Neural Network

Despite several improvements in the drug development pipeline over the past decade, drug failures due to unexpected adverse effects have rapidly increased at all stages of clinical trials. To improve the success rate of clinical trials, it is necessary to identify potential loser drug candidates tha...

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Detalles Bibliográficos
Autores principales: Seo, Sangwoo, Kim, Youngmin, Han, Hyo-Jeong, Son, Woo Chan, Hong, Zhen-Yu, Sohn, Insuk, Shim, Jooyong, Hwang, Changha
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Pharmacology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8242994/
https://www.ncbi.nlm.nih.gov/pubmed/34220508
http://dx.doi.org/10.3389/fphar.2021.670670

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8242994/
https://www.ncbi.nlm.nih.gov/pubmed/34220508
http://dx.doi.org/10.3389/fphar.2021.670670

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