Category: Data

  • Continuously generated “small data” analysis to improve health

    Continuously generated “small data” analysis to improve health

    The discussion of “big data” analysis in healthcare continues, unabated.  At ApplySci’s recent Wearable Tech + Digital Health + NeuroTech NYC conference, Cornell professor Deborah Estrin, who is also a founder of Open mHealth, described how “small data” — our digital patterns and interactions — can help physicians by creating a more meaningful representation of our…

  • Wearable + cloud analysis track Huntington’s disease progression

    Wearable + cloud analysis track Huntington’s disease progression

    In the latest pharma/tech partnership, Teva and Intel are developing a wearable platform to track the progression of Huntington’s disease.  There is no cure for the disease, which causes a breakdown of nerve cells in the brain, resulting in a  decline in motor control, cognition and mental stability. The technology can be used to assess the effectiveness…

  • Sanofi/Verily joint venture to fight diabetes

    Sanofi/Verily joint venture to fight diabetes

    Big pharma + big tech/data partnerships continue to proliferate. Onduo is a Sanofi/Verily joint venture that will use each company’s expertise to help manage diabetes  — Sanofi’s drugs  plus Verily’s software, data analysis, and devices. CEO Josh Riff and has not announced a project pipeline, as they are taking “a thoughtful approach to finding lasting…

  • “Data, not drugs” for elite sport performance

    “Data, not drugs” for elite sport performance

    With equal parts modesty, enthusiasm, and wearable tech expertise, Olympic cyclist Sky Christopherson came to ApplySci’s recent Wearable Tech + Digital Health + NeuroTech NYC conference to “thank this community for helping the US Olympic team before the last Olympics with a lot of the same technology to help athletes prepare, using data and not drugs.”…

  • Andreas Weigend on Data for the People

    Andreas Weigend on Data for the People

    Of all the data we create and share, perhaps none is more important — or more sensitive —  than data about our health.  The wearable tech revolution has given us, as patients and individuals, control – but we also must think about what we, and others, do with the data that we collect. Andreas Weigend,…

  • Wireless hub syncs health data at home, in clinic

    Wireless hub syncs health data at home, in clinic

    Google’s “Connectivity Bridge” appears to be a wireless hub meant to  collect and sync medical data in clinical studies, according to an FCC filing reported by Business Insider.  (No company announcement has been made.) The hub can be installed in facilities or homes, and sensor data can be quickly uploaded to the cloud for analysis. It uses…

  • Machine learning for faster stroke diagnosis

    Machine learning for faster stroke diagnosis

    MedyMatch uses big data and artificial intelligence to improve stroke diagnosis, with the goal of faster treatment. Patient CT photos are scanned  and immediately compared with hundreds of thousands of other patient results.  Almost any deviation from a normal CT is quickly detected. With current methods, medical imaging errors can occur when emergency room radiologists…

  • Sleep app uses wearable sensors, cloud analytics

    Sleep app uses wearable sensors, cloud analytics

    The American Sleep Apnea Association,  Apple and IBM have begun a study about the impact of sleep quality on daily activity level, alertness, productivity,  health and medical conditions. iPhone and Apple Watch sensors and the ResearchKit framework collect data from healthy and unhealthy sleepers, which is sent to the Watson Health Cloud. The SleepHealth app uses the watch’s  heart rate…

  • Virtual clinic uses apps, VR, data, wearables in remote care

    Virtual clinic uses apps, VR, data, wearables in remote care

    USC’s Center for Body Computing, led by Professor Leslie Saxon, has created the Virtual Care Clinic, featuring vetted, best of class partners providing integrated remote healthcare solutions.  The eight initial partners are Doctor Evidence, IMS Health, Karten Design, Medable, Planet Grande, Proteus Digital Health and VSP Global. Mobile apps, virtual doctors, data collection and analysis systems,…

  • Machine learning based cancer diagnostics

    Machine learning based cancer diagnostics

    Search engine giant Yandex is using its advanced machine learning capabilities to detect cancer predisposition. Yandex Data Factory has partnered with AstraZeneca to develop the RAY platform, which analyzes DNA testing results, generates a report about patient genome mutations, and provides treatment recommendations and side effect information. Testing will begin next month. The two companies have signed a cooperation…

  • Big data / pharma partnership to model diseases, treatments

    Big data / pharma partnership to model diseases, treatments

    IBM and Israeli generic drug giant Teva will partner to develop treatments for chronic conditions using the  Watson Health Cloud. Their stated goal is “to put the best information and insights in the hands of physicians, care teams and patients, to empower treatment optimization for individuals and populations across the spectrum of acute and chronic conditions.”   Asthma, pain,…

  • Inhaler sensors track asthma severity across cities

    Inhaler sensors track asthma severity across cities

    Propeller Health and the Robert Wood Johnson Foundation, through their Air Louisville program, are using sensors on asthma inhalers to track when, where and how often inhalers are used. This helps patients manage symptoms, and city officials warn of increased chances of asthma severity in certain areas. Sensors attach to inhaled medication, and a smartphone app and…