organization:us national institute of mental health

  • The smartphone app that can tell you’re depressed before you know it yourself - MIT Technology Review
    https://www.technologyreview.com/s/612266/the-smartphone-app-that-can-tell-youre-depressed-before-you-know-i

    A startup founded in Palo Alto, California, by a trio of doctors, including the former director of the US National Institute of Mental Health, is trying to prove that our obsession with the technology in our pockets can help treat some of today’s most intractable medical problems: depression, schizophrenia, bipolar disorder, post-traumatic stress disorder, and substance abuse.

    Mindstrong Health is using a smartphone app to collect measures of people’s cognition and emotional health as indicated by how they use their phones. Once a patient installs Mindstrong’s app, it monitors things like the way the person types, taps, and scrolls while using other apps. This data is encrypted and analyzed remotely using machine learning, and the results are shared with the patient and the patient’s medical provider.

    The seemingly mundane minutiae of how you interact with your phone offers surprisingly important clues to your mental health, according to Mindstrong’s research—revealing, for example, a relapse of depression.

    The seemingly mundane minutiae of how you interact with your phone offers surprisingly important clues to your mental health, according to Mindstrong’s research—revealing, for example, a relapse of depression.❞

    For now, Insel says, the company is working mainly with seriously ill people who are at risk of relapse for problems like depression, schizophrenia, and substance abuse. “This is meant for the most severely disabled people, who are really needing some innovation,” he says. “There are people who are high utilizers of health care and they’re not getting the benefits, so we’ve got to figure out some way to get them something that works better.” Actually predicting that a patient is headed toward a downward spiral is a harder task, but Dagum believes that having more people using the app over time will help cement patterns in the data.

    There are thorny issues to consider, of course. Privacy, for one: while Mindstrong says it protects users’ data, collecting such data at all could be a scary prospect for many of the people it aims to help. Companies may be interested in, say, including it as part of an employee wellness plan, but most of us wouldn’t want our employers anywhere near our mental health data, no matter how well protected it may be.

    #Données_médicales #Maladie_mentale #Surveillance #Algorithmes_prédictifs #Hubris_scientifique

  • Google wants to monitor your mental health. You should welcome it into your mind - Telegraph (James Kirkup, 28 octobre 2015)
    http://www.telegraph.co.uk/news/health/11961415/Google-wants-to-monitor-your-mental-health.-You-should-welcome-it-into-

    The use of technology to track and treat mental illness is deeply worrying but sadly necessary.

    Next week, Dr Tom Insel leaves his post as head of the US National Institute of Mental Health, a job that made him America’s top mental health doctor. Dr Insel is a neuroscientist and a psychiatrist and a leading authority on both the medicine and public policies needed to deal with problems of the mind. He’s 64 but he’s not retiring. He’s going to work for #Google.

    More precisely, he’s going to work for Google Life Sciences, one of the more exotic provinces of the online empire. He’s going to investigate how technology can help diagnose and treat mental health conditions. Google doesn’t just want to read your mind, it wants to fix it too.
    It’s not alone. Apple, IBM and Intel are among technology companies exploring the same field. IBM this year carried out research with Columbia University that suggested computer analysis of speech patterns can more accurately predict the onset of psychosis than conventional tests involving blood samples or brain scans. Other researchers theorise that a person’s internet search history or even shopping habits (so handily recorded by your innocuous loyalty card) can identify the first signs of mental illness. Computers can now tell when something is about to go terribly wrong in someone’s mind.

    Farewell | NIMH (By Thomas Insel on October 29, 2015)
    https://www.nimh.nih.gov/about/director/2015/farewell.shtml

    I am leaving NIMH later this week and will soon begin working on mental health issues at Google Life Sciences (GLS), a new company under the Alphabet umbrella. I don’t know exactly what the team will do at GLS but the theme will be “disruptive innovation” and the approach is likely to involve technology and what is now called “deep learning” (what some have called “data analytics”). As an example of the approach, the GLS team working on diabetes has created a contact lens with a sensor for continuous, passive, precise monitoring of glucose. This contact lens includes a Bluetooth transmitter linked to the patient’s cell phone, which in turn, controls an insulin pump. Could we create an analogous closed loop system to help people manage depression or anxiety or psychosis? That’s a question I will be thinking about a lot in the coming months.

    #santé_mentale #médecine
    #psychiatrie #prédiction #algorithmie cc @didier2 @laetitia