Looking beyond the hype: Applied AI and machine learning in translational medicine

Big data problems are becoming more prevalent for laboratory scientists who look to make clinical impact. A large part of this is due to increased computing power, in parallel with new technologies for high quality data generation. Both new and old techniques of artificial intelligence (AI) and mach...

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Detalles Bibliográficos
Autores principales: Toh, Tzen S., Dondelinger, Frank, Wang, Dennis
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2019
Materias:
Review
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6796516/
https://www.ncbi.nlm.nih.gov/pubmed/31466916
http://dx.doi.org/10.1016/j.ebiom.2019.08.027

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6796516/
https://www.ncbi.nlm.nih.gov/pubmed/31466916
http://dx.doi.org/10.1016/j.ebiom.2019.08.027

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