Advancing data science in drug development through an innovative computational framework for data sharing and statistical analysis

Advancing data science in drug development through an innovative computational framework for data sharing and statistical analysis

Abstract Background Novartis and the University of Oxford’s Big Data Institute (BDI) have established a research alliance with the aim to improve health care and drug development by making it more efficient and targeted. Using a combination of the latest statistical machine learning technology with...

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Autores principales: Ann-Marie Mallon, Dieter A. Häring, Frank Dahlke, Piet Aarden, Soroosh Afyouni, Daniel Delbarre, Khaled El Emam, Habib Ganjgahi, Stephen Gardiner, Chun Hei Kwok, Dominique M. West, Ewan Straiton, Sibylle Haemmerle, Adam Huffman, Tom Hofmann, Luke J. Kelly, Peter Krusche, Marie-Claude Laramee, Karine Lheritier, Greg Ligozio, Aimee Readie, Luis Santos, Thomas E. Nichols, Janice Branson, Chris Holmes
Formato: article
Lenguaje:EN
Publicado: BMC 2021
Materias:
Machine learning
Data management
Data anonymisation
Clinical trial
Medicine (General)
R5-920
Acceso en línea:https://doaj.org/article/d43dee580b834d6ca85817e178bae918
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https://doaj.org/article/d43dee580b834d6ca85817e178bae918

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