US scientists say their blood test can be 94% effective in spotting those at risk of the illness

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A new artificial intelligence system unveiled Wednesday by doctors at Johns Hopkins offers to provide a clearer picture for patients: In testing, it displayed a superhuman ability to differentiate harmful lesions from ones that pose no threat at all.

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Ten years after swine flu, no one can predict the next one

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“This is where we think machine learning has the great opportunity to help us,” said Dr. Daniel Cantillon, a cardiologist who serves as medical director of the CMU. “The challenge is we have to be able to call our shots in advance, and that’s something we’re deeply invested in”

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Hindsight 2070

April 4, 2019

Vox asked 15 experts, “What do we do now that will be considered unthinkable in 50 years?” Here’s what they told them. Predicting society’s moral evolution on eating meat, kids playing football, 401(k)s, and more

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A two-year-old boy in rural Guinea died of Ebola in December 2014. Over the next two years, almost 30,000 people in West Africa would be infected with the Ebola virus. Why, unlike previous 17 Ebola outbreaks, did this one grow so large, so quickly? What, if anything, can be done to prevent future outbreaks?

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For example, data about a mobile phone’s past location and movement patterns can be used to predict where a person lives, who their employer is, where they attend religious services and the age range of their children based on where they drop them off for school

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Even if you aren’t on Twitter. Companies have made billions of dollars by turning everything we say, do, and look at online into an experiment in consumer profiling. Recently, some users have had enough, curtailing their use of social media or deleting their accounts completely. But that’s no guarantee of privacy

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