Tag: Featured
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Mobile brain health management
After scanning the brains of ALS, epilepsy, minimally conscious, schizophrenia, memory impaired, and healthy patients, to monitor brain health and treatment effectiveness, Brown and Tel Aviv University professor Nathan Intrator has commercialized his algorithms and launched Neurosteer. At ApplySci’s recent NeuroTech NYC conference, Professor Intrator discussed dramatic advances in BCI, monitoring, and neurofeedback, in his…
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Wireless signals detect emotions
Mingmin Zhao and MIT colleagues have developed a device that detects emotions remotely, emitting wireless signals to measure heartbeat and breathing. EQ-Radio detects whether a person is excited, happy, angry or sad without wearable sensors or using face recognition technology. Radio signals are reflected off a person’s body, and back to the device. Algorithms detect…
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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…
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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…
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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…
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VR for early neurodegenerative disease detection, personalized rehabilitation
Tomsk Polytechnic and Siberian State University scientists David Khachaturyan and Ivan Tolmachov have developed a VR based neurodegenerative disorder diagnosis system. The goal is the early detection and tretment of diseases, including MS and Parkinson’s. The next step is the use of VR systems, like Glass and Kinect, for personalized rehabilitation. 50 subjects, both healthy…
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Takeda’s digital transformation
Pharmaceutical giant Takeda is amid a digital transformation — with a patient-centric approach to drug development, wearable device adoption, and sophisticated data analysis. Leading this effort is Bruno Villetelle, Takeda’s Chief Digital Officer. Bruno was a keynote speaker at ApplySci’s recent Wearable Tech + Digital Health + NeuroTech San Francisco conference, where he discussed digital pharma…
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Phone sensors detect anemia, irregular breathing, jaundice
University of Washington’s Shwetak Patel and his UbiComp Lab colleagues develop non-invasive, smartphone based tests, meant to bring diagnostics to the masses. HemaApp, a smartphone/light source detection method for anemia, could be especially useful in areas lacking access to care. Anemia is extremely common in poor countries. In a recent study, a phone camera was used…
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“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.”…
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AI speech, text, image, identity analysis for healthcare, self-driving cars
The Baidu and Nvidia developed Baidu Brain is a robot that simulates the human brain using advanced algorithms, computing power, and data analysis. It can be used for voice recognition and synthesis, image recognition, natural language processing, and user profiling. Potential healthcare uses include disease recognition, treatment tracking, and rehabilitation progress. Wearable Tech + Digital Health + NeuroTech Silicon Valley –…
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Antibody dramatically reduces amyloid plaques in Alzheimer’s patient study
A potential game-changer in the fight against Alzheimer’s Disease has been successfully trialled. Biogen developed aducanumab was found to almost completely clear the visible signs of Alzheimer’s disease from the brain. 165 patient brains were scanned as they were given the drug. After a year, almost all of the amyloid plaques appeared to have disappeared from those given…
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Gait sensors predict falls, allowing preventive intervention
University of Missouri’s Marjorie Skubic has used sensors to measure gait speed and stride length, to predict falls. The goals is to use wearables and smart home technology to preserve independence and allow seniors to age in place. Data was collected at an independent-living style retirement residence. Images and nurse alert emails were generated when…