Highly accurate strips could unlock a life-saving public health approach to the overdose crisis

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Here’s why that’s a good thing. A new algorithm could ease critically ill patients’ final days.

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My grandfather was a statistician, and from a young age he taught me to always consider the odds. A pragmatic man, he couldn’t help teaching me when to hedge my bets, especially when it came to playing Uno. Unfortunately, he never could have prepared me for the odds I would face in the years to come

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By using an artificially intelligent algorithm to predict patient mortality, a research team from Stanford University is hoping to improve the timing of end-of-life care for critically ill patients. In tests, the system proved eerily accurate, correctly predicting mortality outcomes in 90 percent of cases. But while the system is able to predict when a patient might die, it still cannot tell doctors how it came to its conclusion

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Black Mothers Are Dying

January 12, 2018

The toll of racism on maternal health. The recent, high-profile death of Erica Garner, a 27-year-old African-American mother of two — one of them a 4-month-old infant — is a tragic example of how racism and access to health care for black mothers is a national crisis

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But many of us still get the basic facts wrong. This year marks the 100th anniversary of the great influenza pandemic of 1918. Between 50 and 100 million people are thought to have died, representing as much as 5 percent of the world’s population. Half a billion people were infected

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A new study ranks 20 wealthy countries on childhood deaths. The US comes in last.

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A statistical jump in the mortality rate of expectant and new mothers over 40 is “biologically implausible,” according to the co-author of a new study

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