Tag: Featured

  • Exoskeleton builds muscle capacity, improves posture in cerebral palsy

    Exoskeleton builds muscle capacity, improves posture in cerebral palsy

    Thomas Bulea and NIH colleagues have developed a robotic exoskeleton for children with cerebral palsy. “Crouch gait,” where a person walks with a perpetual bend in their knees, is a hallmark of the disease. This damages muscles and joints and  results in  paralysis for half of cerebral palsy patients. Bulea believes that increasing the amount…

  • Patch monitors diabetes compounds in sweat for 1 week

    Patch monitors diabetes compounds in sweat for 1 week

    University of Texas professor Shalini Prasad has developed an adhesive sensor that measures diabetes-associated compounds in small amounts of sweat. Blood glucose levels, cortisol and interleukin-6 are detected in perspiration for one week with full signal integrity.  The device uses ambient sweat, created by the body with out stimulation. The sensor can be placed anywhere…

  • Phone camera + machine learning detect concussion

    Phone camera + machine learning detect concussion

    Shwetak Patel and UW colleagues have developed PupilScreen, an app that uses a phone’s camera to detect concussion from the pupil. The phone’s video camera and flash check the eye for its pupillary light reflex, measures size changes associated with concussion.  Machine learning algorithms confirm the diagnosis. Hospitals typically use a pen light to check…

  • Detecting dementia with automated speech analysis

    Detecting dementia with automated speech analysis

    WinterLight Labs is developing speech analyzing algorithms to detect and monitor dementia and aphasia.  A one minute speech sample is used to determine the lexical diversity, syntactic complexity, semantic content, and articulation associated with these conditions. Clinicians currently conduct similar tests by interviewing patients and writing their impressions on paper. The company believes that their…

  • Robotic, in-vivo neuron recording

    Robotic, in-vivo neuron recording

    Ed Boyden and MIT colleagues have developed a robotic system capable of monitoring specific neurons. An algorithm based on multiple image processing methods analyzes microscope images and guides a robotic arm to within 25 microns of a target cell. The system then relies on both imagery and impedance, which more accurately detects contact between the…

  • Google incorporates depression screening in search

    Google incorporates depression screening in search

    Google has introduced a new depression screening feature.  When the word “depression” is used in search, mobile users are offered a PHQ-9 questionnaire, which recognizes symptoms. A “Knowledge Panel” containing information and potential treatments appears on top of the page. The goal is self awareness, and encouragement to seek help when needed. Another company dedicated to…

  • Small, adhesive, wireless patch collects, transmits, extensive health data

    Small, adhesive, wireless patch collects, transmits, extensive health data

    Northwestern’s John Rogers and Kyung-In Jang of the Daegu Gyeongbuk Institute of Science and Technology have developed a small, adhesive, flexible silicone patch capable of monitoring multiple health parameters. The soft, body-conforming wearable contains 50 components connected by  250  3-D wire coils embedded in protective silicone.  It collects and wirelessly transmits data about movement, respiration, and…

  • Retina scan + curcumin for early Alzheimer’s detection

    Retina scan + curcumin for early Alzheimer’s detection

    In a recent study, Maya Koronyo-Hamaoui and Keith Black at Cedars-Sinai  used a retina scan to detect amyloid-beta deposits, a predictor of Alzheimer’s disease, up to 20 years before symptoms. 16 Alzheimer’s patients drank a curcumin solution, which caused amyloid plaque in the retina to “light up” and be detected. Another key finding was the discovery…

  • Machine learning for early Alzheimer’s diagnosis

    Machine learning for early Alzheimer’s diagnosis

    Anant Madabhushi and Case Western colleagues have used machine learning to diagnose Alzheimer’s disease via imaging data in a small study.  The goal is early intervention, which could potentially extend independence. 149 patients were analyzed using a Cascaded Multi-view Canonical Correlation (CaMCCo) algorithm, which integrates MRI scans, features of the hippocampus, glucose metabolism rates in the…

  • fMRI + EEG used to detect consciousness in ICU patients

    fMRI + EEG used to detect consciousness in ICU patients

    MGH’s  Brian Edlow and colleagues have completed a small study showing the efficacy of using fMRI and EEG in ICU TBI patients to detect consciousness.  Previous research has suggested that up to 40% of conscious patients are misclassified as unconscious. The goal is to create a more informed care plan, and earlier interventions that could improve…

  • Apple patents multi-parameter, phone-based health tracking

    Apple patents multi-parameter, phone-based health tracking

    Apple  has been granted a patent for phone technology using a front-facing camera and light, proximity, and multiple sensors to measure body fat, heart rate, circulation, blood pressure, and breathing, as well as emotional state via galvanic skin response. The device computes health data of the user based upon sensor data regarding the received light. It has been reported…

  • Single blood draw detects 1250 pathogens from cell-free DNA

    Single blood draw detects 1250 pathogens from cell-free DNA

    Karius‘s  next-generation sequencing detects fragments of 1250 microbes from a single blood draw.  Identifying microbial cell-free DNA from bacteria, viruses, fungi and protozoa can facilitate the rapid diagnosis of infectious disease.  Current diagnostics only detect a narrow range of pathogens, and may require invasive biopsies. This fast and comprehensive analysis could enable more effective, targeted…