Work

Opportunities for machine learning to transform care for people with cystic fibrosis

Year: 2020

Type: editorial

Source: Journal of Cystic Fibrosis

DOI: 10.1016/j.jcf.2020.01.002

Authors: Mahed Abroshan, Ahmed M. Alaa, Oli Rayner, Mihaela van der Schaar

Institutions: University of Cambridge, University of California, Los Angeles

Language: English

Topic: Cystic Fibrosis Research Advances

Subfield: Pulmonary and Respiratory Medicine

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: bronze

Funders: Alan Turing Institute, Cystic Fibrosis Trust

Award: G85432648

OpenAlex ID: W3003191070

Cites: 13

Cited by: 8

Related to: 10