• Apr 19, 2017

    In Circulation: Episode 2 (AI, Diagnostic Testing, and Emojis)

    By Lisa Fugere and the HD2i Team

    While it’s easy to imagine asking a robot for the weather forecast, it’s a little more difficult to imagine asking a robot to diagnose a disease or prescribe a treatment plan. But robots may soon play an important role in our healthcare. In San Francisco, two research teams are exploring how AI-powered robots might impact senior care, introducing the idea of “connected aging.” Think robots that can remind you to take medication or suggest you go for a walk. While these solutions are undeniably helpful, they introduce a set of questions about what we should and shouldn’t train machines to do. In a thought-provoking long-form piece, Pulitzer Prizewinning Author, Siddhartha Mukherjee, answers a number of these questions as they relate to the use of AI for disease diagnosis. The question, he surmises, isn’t about what machines will or will not be capable of; rather, what should be automated, and what shouldn’t?

    NEWSLETTER
  • Apr 6, 2017

    In Circulation: Episode 1 (Privacy, Hype, Sensors and Dataviz)

    By Lisa Fugere and the HD2i Team

    Could your data ever be used against you in a court of law? That’s what a lot of people are asking after Amazon recently agreed to release user data from an Echo device involved in a murder trial. The device in the hot seat — the popular AI assistant named “Alexa,” may contain audio recordings of a man’s death in Arkansas. This case represents yet another chapter in the ongoing debate over whether data from our home devices can be used as courtroom evidence. Fitbit data has already seen its day in court as a part of a personal injury claim in 2014, and Alexa’s debut in court sparks some important questions about our private data: what are some of the unintended consequences of the data exhaust we leave behind in the form of cookies, log files, and the like? How could our own data be used against us?

    NEWSLETTER
  • Feb 13, 2017

    Considerations for using wearable devices in clinical research

    By Noah Zimmerman

    Integration of remote sensor data with traditional clinical data sources is an exciting new area of biomedical research. Increasingly, clinical trial protocols incorporate wearable biosensors to remotely measure things like activity, heart function, blood glucose and oxygen saturation. This is an exciting opportunity because it allows us to view participants in their natural environments instead of in a laboratory setting. The tradeoff is that the devices need to be consumer friendly and usable without a research technician.

    DEVICES SLEEP CLINICAL
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