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Facebook researchers are working to see how well and how quickly robots can teach themselves to walk, feel their way around tricky spaces and otherwise try new robot-y things through AI-driven trial and error.

National health spending reached $3.76 trillion in March 2019, a 4.6% jump from the same month in 2018, according to recent data from Altarum, underscoring signs of acceleration during the first quarter of 2019.

Deep learning can help diagnose skin cancer with high accuracy even when it has only low-tech dermoscopic images to work with, according to research conducted in Israel and published in The Lancet’s online journal eBioMedicine.

An AI algorithm created by Google can predict lung cancer with high accuracy and improve the survival chances of those with the cancer through earlier diagnosis, according to a recent study. The findings were published in Nature Medicine on May 20.

People who struggle to get a good night’s sleep and seek medical help for the problem are producing mega data on things like eye movement, breathing, brain activity and restless legs. Which is to say sleep medicine is as ripe as any field in healthcare for help from AI.

Contrary to common understanding, sepsis is not a one-size-afflicts-all condition. It’s a set of many, and each can be placed into one of four key subcategories—i.e., phenotypes—such that, going forward, stricken patients could receive tailored treatments.