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A few years ago, researchers at Harvard and Kaiser Permanente Northern California had an inspired idea: Perhaps they could use the wealth of personal data in electronic health records to identify patients at high risk of getting infected with H.I.V.

Doctors could use an algorithm to pinpoint these patients and then steer them to a daily pill to prevent infection, a strategy known as PrEP.

Now the scientists have succeeded. Their results, they say, show that it is possible to correctly identify men at high risk by examining medical data already stored about them.

…continue reading ‘Would You Want a Computer to Judge Your Risk of HIV Infection?’

Thumb image via NYTimes/ James Steinberg

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New York Times

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