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Using AI to augment clinical decision-making in cystic fibrosis

1 August 2019 by Sean O'Neill

Working with the Cystic Fibrosis Trust, CCAIM Director Mihaela van der Schaar’s team developed machine learning methods that could dramatically improve the accuracy of clinical assessments of people with cystic fibrosis.

Read the full Impact Story.

Category: News, Uncategorised
Previous Post: « Transforming medicine through AI-enabled healthcare
Next Post: The Naked Scientists Podcast: Intensive care beds – UK close to capacity »

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