To cure disease, AI needs more of our data

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Information about patients remains ‘liquid gold’ when it comes to enriching medical research

Machines have already outsmarted humans at playing chess, identifying birdsong and predicting complex protein structures. But when it comes to the really clever and intuitive stuff, like original scientific research, we humans like to think that we still have the advantage. We may need to think again.

Such research might lead to earlier detection and more personalised treatments, improving the chances of survival. “More than 50 per cent of cancer diagnoses are stage 4 or beyond. We are getting information too late to aid decision making,” Curtis says. “Ideally, we can do this more pre-emptively.” There are two big constraints. The first is that “genetics provides hints not answers”, according to one industry executive.

 

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