Artificial intelligence and machine learning in clinical development: a translational perspective

Future of clinical development is on the verge of a major transformation due to convergence of large new digital data sources, computing power to identify clinically meaningful patterns in the data using efficient artificial intelligence and machine-learning algorithms, and regulators embracing this...

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Detalles Bibliográficos
Autores principales: Shah, Pratik, Kendall, Francis, Khozin, Sean, Goosen, Ryan, Hu, Jianying, Laramie, Jason, Ringel, Michael, Schork, Nicholas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Perspective
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6659652/
https://www.ncbi.nlm.nih.gov/pubmed/31372505
http://dx.doi.org/10.1038/s41746-019-0148-3

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6659652/
https://www.ncbi.nlm.nih.gov/pubmed/31372505
http://dx.doi.org/10.1038/s41746-019-0148-3

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