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Picture this - a team of researchers from a foreign country arrives in one of the low-income settlements in Nairobi.
Through the local community leadership, they undertake an exercise to measure blood pressure, check blood sugar, photograph eyes with a retinal scanner for hundreds of residents.
Two years later, an artificial intelligence (AI) tool trained on these data is shown to predict heart disease and stroke risk up to a decade in advance.
The AI trained tool goes on to fetch hundreds of millions of dollars in user fees once deployed by the owners.









