Scientist-led conferences at Harvard, Stanford and MIT

  • Sensor, data, and AI-driven primary care

    Sensor, data, and AI-driven primary care

    Forward has brought advanced technology to well-care. Patient/Members are integrated into the practice with a baseline  screening via body scans, blood and genetic tests.  They are then given consumer and medical wearables, which work with proprietary algorithms, for continuous monitoring (and access to data), personalized treatment, and emergency alerts. Physical exam rooms display all of the data…

  • Machine learning tools predict heart failure

    Machine learning tools predict heart failure

    Declan O’Regan and MRC London Institute of Medical Sciences colleagues believe that AI can predict when pulmonary hypertension patients require more aggressive treatment to prevent death. In a recent study,  machine learning software automatically analyzed moving images of a patient’s heart, captured during an MRI. It then used  image processing to build a “virtual 3D heart”,…

  • Consumer wearable + medical monitor track exercise’s impact on glucose

    Consumer wearable + medical monitor track exercise’s impact on glucose

    Consumer wearables can complement medical devices by integrating activity data into a disease management strategy. Fitbit movement data will now be used with a Medtronic diabetes management tool, with the goal of users predicting the impact of exercise on glucose levels. Diabetics can monitor glucose with Medtronic’s iPro2 system continuously for 6 days. Fitbit data will…

  • Multiple wearable sensors predict illness

    Multiple wearable sensors predict illness

    Stanford’s Michael Snyder has published the results of a health wearable study, in which 2 billion measurements were taken from 60 subjects, concluding that such devices can be used to predict illness. Continuous biosensor data, plus blood chemistry, gene expression and other tests,  were included. Participants wore 1-7 commercial wearables, which collected more than 250,000…

  • Alexa solidifies NLP’s role in smart homes, cars.  Is senior care next?

    Alexa solidifies NLP’s role in smart homes, cars. Is senior care next?

    Amazon’s Alexa is the deserved  star of CES. Lights, thermostats, air purifiers, cars, refrigerators, other appliances, and baby monitors are examples of interfaces solidifying the natural voice processing-driven future of the world. Amazon now has the opportunity to enhance the lives of those aging in place.  Its development of senior citizen focused applications is lagging.  Alexa has the…

  • Ultra-flexible transistor for discreet, continuous health monitoring

    Ultra-flexible transistor for discreet, continuous health monitoring

    Stanford professor Zhenan Bao‘s latest bioelectronic innovation has disrupted wearable technology as we know it.   The ultra-flexible transistor can be stretched to twice its length, without losing conductivity.  Conductors are confined inside an extremely thin, flexible polymer material, ideal for adhesive or tiny wearables. Digital health applications are unlimited —  providing discreet, continuous, and…

  • Video games studied to treat late-life depression

    Video games studied to treat late-life depression

    UCSF’s Joaquin Anguera and UW’s Patricia Arean have published a study detailing the use of video games to treat late life depression. They claim that the EVO interface targets underlying cognitive issues associated with depression, and does not simply manage systems. The game, developed by Akili, is meant to improve focus and attention at a “basic neurological…

  • Sensor dramatically improves MRI resolution

    Sensor dramatically improves MRI resolution

    ETH professor Klaas Prussmann has developed technology to improve MRI accuracy by detecting tiny changes in magnetic fields. An MRI’s  strong magnetic field, which makes it difficult for sensors to detect up small details.  Prussmann’s integrated digital radio receiver addresses this by  decreasing background noise significantly. In a recent paper, he said:  “In addition to…

  • Non-invasive nanosystem detects disease in breath

    Non-invasive nanosystem detects disease in breath

    Technion professor Hossam Haick has developed a nanosystem that can identify the breath signatures of many diseases, including kidney failure, lung cancer, Crohn’s disease, MS, prostate and ovarian cancer.  Each compound’s relative abundance in a person’s breath is assessed, and disease signatures are compared against healthy individuals. In a recent study, using mass spectrometry analysis, specific compound signatures…

  • Prosthesis-integrated sensor detects infections early

    Prosthesis-integrated sensor detects infections early

    Infections in prostheses, for amputees, and in joint replacements, are common, often found too late, and can necessitate additional surgeries or worse complications.  Current detection methods include MRI, CT, and X-ray. Ken Loh and UCSD colleagues have developed an infection detecting prosthesis coating + imaging technique that could be used at home or in a…

  • BCI controlled robotic arm; no implant required

    BCI controlled robotic arm; no implant required

    University of Minnesota professor Bin He has created a brain computer interface to control a robotic arm with out an implant. In a recent study, EEG alone was used to allow 8 people to move objects in a complex 3D environment.  Combined with advanced signal processing and machine learning, thoughts were turned into actions. 64…

  • Tiny wearable sensor measures blood flow

    Tiny wearable sensor measures blood flow

    Kyocera has developed a tiny optical sensor to measure blood flow volume in subcutaneous tissue, meant to be integrated into a phone or wearable. Potential applications include monitoring stress and preventing dehydration, heat stroke, and altitude sickness. The device will be used  in/on an ear, finger or forehead, to measure the velocity-driven frequency of reflected…

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