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A new machine learning model that estimates optimal treatment timing for sepsis could pave the way for support tools that help physicians personalize treatment decisions at the patient bedside, researchers say.
A new kind of machine learning model is set to improve automated decision making in finance, healthcare, ad targeting and more.
Machine learning can create fake medical images and histories that look real. They may transform research.
Shedding some “Insight” into a new haptic sensory technology.
Johns Hopkins researchers found that algorithms trained on manufactured data can be even better than the real thing for important surgical tasks like X-ray image analysis