Tag: Featured

  • Wearable acoustic sensors track fetal cardiac activity, skeletal development

    Wearable acoustic sensors track fetal cardiac activity, skeletal development

    Acoustic sensors are increasingly used in monitoring fetal health. Imperial College’s Niamh Nowlan is using low cost, non-transmitting accelerometers and acoustic sensors to continuously track fetal movement to understand skeletal development. Acoustic sensors enable discrimination between the movement of the fetus and mother. Israel’s Nuvo Group is continuously monitoring fetal cardiac activity using acoustic sensors and ECG…

  • Joi Ito on health: an antidisciplinary system of systems | ApplySci @ MIT

    Joi Ito on health: an antidisciplinary system of systems | ApplySci @ MIT

    Joi Ito discussed health as an antidisciplinary system of systems at ApplySci’s last Wearable Tech + Digital Health + Neurotech conference at MIT: Join ApplySci at the 9th Wearable Tech + Digital Health + Neurotech Boston conference on September 24, 2018 at the MIT Media Lab.  Speakers include:  Rudy Tanzi – Mary Lou Jepsen – George Church…

  • Gait sensor predicts senior falls

    Gait sensor predicts senior falls

    University of Illinois professors Bruce Schatz and David Buchner have developed a system to predict senior fall risk using motion sensors that measure walking patterns. 67 women over 60 were tested on walking ability,  detailed past annual falls, and wore an accelerometer for one week. The analysis of device data and reported history enabled the…

  • Sensor assesses blood clotting in 30 minutes

    Sensor assesses blood clotting in 30 minutes

    ClotChip assesses  blood clotting 95 times faster than current methods, with a single single drop of blood, using miniaturized dielectric spectroscopy. A finger-prick sample is taken from heart arrhythmia, pulmonary embolism, post surgery, or  hemophilia patients, to analyze clotting abilities in the ER or at home.  Results are received in 30 minutes. Caregivers currently cannot quickly assess if…

  • AI predicts drug combination complications

    AI predicts drug combination complications

    Stanford’s Monica Agrawal, Jure Leskovec and Marinka Zitnik used AI to study the body’s underlying cellular machinery and predict side effects of drug combinations. There are about 1,000 known side effects and 5,000 drugs on the market, making nearly 125 billion possible side effects between all possible pairs of drugs. The team created a network describing…

  • Vinod  Khosla on AI in healthcare | ApplySci @ Stanford

    Vinod Khosla on AI in healthcare | ApplySci @ Stanford

    Vinod Khosla discussed AI at ApplySci’s recent Wearable Tech + Digital Health + Neurotech conference at Stanford; Join ApplySci at the 9th Wearable Tech + Digital Health + Neurotech Boston conference on September 24, 2018 at the MIT Media Lab.  Speakers include:  Rudy Tanzi – Mary Lou Jepsen – George Church – Roz Picard – Nathan Intrator…

  • VR-enhanced molecular simulations

    VR-enhanced molecular simulations

    University of Bristol researchers, Oracle and Interactive Scientific  have used Oracle’s cloud infrastructure to combine real-time molecular simulations with VR, enabling them to “touch” molecules as they move — highlighting the potential of VR in seeing and manipulating complex 3D structures.  The technology could change how drugs are designed, and transform the teaching of chemical…

  • Eye implant measures pressure, releases fluid, in glaucoma

    Eye implant measures pressure, releases fluid, in glaucoma

    Caltech’s Azita Emami, Aubrey Shapero, Abhinav Agarwal and colleagues have developed a miniaturized, fully wireless, highly-sensitive, implantable, continuous pressure sensor that can remain in the human eye for four years.  The goal is early detection and treatment of glaucoma progression. Current tonometer measurement, which requires anesthesia, only measures pressure during an appointment, and can miss…

  • David Axelrod: VR in healthcare & the Stanford Virtual Heart | ApplySci @ Stanford

    David Axelrod: VR in healthcare & the Stanford Virtual Heart | ApplySci @ Stanford

    David Axelrod discussed VR-based learning in healthcare, and the Stanford Virtual Heart, at ApplySci’s recent Wearable Tech + Digital Health + Neurotech conference at Stanford; Join ApplySci at the 9th Wearable Tech + Digital Health + Neurotech Boston conference on September 24, 2018 at the MIT Media Lab.  Speakers include:  Rudy Tanzi – Mary Lou Jepsen…

  • Combined BCI + FES system could improve stroke recovery

    Combined BCI + FES system could improve stroke recovery

    Jose Millan and EPFL colleagues have combined a brain computer interface with functional electrical stimulation in a system that, in a study, showed the ability to enhance the restoration of limb use after a stroke. According to Millan: “The key is to stimulate the nerves of the paralyzed arm precisely when the stroke-affected part of…

  • Cheap, molecular-wired, metabolite-measuring sensor

    Cheap, molecular-wired, metabolite-measuring sensor

    Cambridge’s Anna-Maria Pappa, KAUST’s Sahika Inal, and colleagues have developed a low cost, molecular wired sensor that can measure metabolites in sweat, tears, saliva or blood.  It can be incorporated into flexible and stretchable substrates for cellular-level health monitoring. A synthesised polymer acts as a molecular wire, accepting electrons produced during electrochemical reactions. It merges…

  • Tony Chahine on human presence, reimagined | ApplySci @ Stanford

    Tony Chahine on human presence, reimagined | ApplySci @ Stanford

    Myant‘s Tony Chahine reimagined human presence at ApplySci’s recent Wearable Tech + Digital Health + Neurotech conference at Stanford: Join ApplySci at the 9th Wearable Tech + Digital Health + Neurotech Boston conference on September 24, 2018 at the MIT Media Lab.  Speakers include:  Rudy Tanzi – Mary Lou Jepsen – George Church – Roz Picard –…