Scientist-led conferences at Harvard, Stanford and MIT
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Ingestible “bacteria on a chip” detects blood, inflammation
MIT’s Timothy Lu has developed an ingestible sensor with embedded genetically engineered bacteria to diagnose bleeding or other gastrointestinal issues. The “bacteria-on-a-chip” approach combines living cell sensors with ultra-low-power electronics that convert the bacterial response into a signal read by a phone. The technology has only been tested in pigs, but shows promise in detecting…
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Cheap, noninvasive patch monitors glucose
UCSD’s Joe Wang‘s needless adhesive glucose monitor has begun a phase I clinical trial. The small patch measures insulin levels through sweat on the skin, eliminating the need for a skin prick. The paper – tattoo is printed with two integrated electrodes that apply a small amount of electrical current. Glucose molecules residing below the skin are…
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Carla Pugh on hacking healthcare with sensors | ApplySci @ Stanford
Carla Pugh discussed hacking healthcare with sensors at ApplySci’s Wearable Tech + Digital Health + Neurotech Silicon Valley conference on February 26-27, 2018 at Stanford University: Join ApplySci at the 9th Wearable Tech + Digital Health + Neurotech Boston conference on September 24, 2018 at the MIT Media Lab. Speakers include: Mary Lou Jepsen – George…
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BP cuff + accelerometer detect early preeclampsia
Purdue’s Craig Goergen has developed a sensor-based supine pressor test to detect preeclampsia. The technology measures and notes the difference between a pregnant woman’s diastolic blood pressure while in two different positions, using a BP wrist cuff and accelerometer on the stomach. The two devices are connected to an app which guides the wearer, and…
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EEG determines SSRI effectiveness in depression
UT Southwestern researchers are using EEG to determine whether an SSRI would effectively treat a person’s depression. Part of the EMBARC project, the study tracked 300 depressed patients who were given an 8 week course of an SSRI or a placebo. EEG recordings were taken before and after the trial. Higher rACC theta activity before treatment…
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Walter Greenleaf on medical applications of VR and AR | ApplySci @ Stanford
Walter Greenleaf discussed medical applications of VR and AR technology at ApplySci’s Wearable Tech + Digital Health + Neurotech Silcon Valley conference at Stanford University on February 26-27, 2018: Join ApplySci at the 9th Wearable Tech + Digital Heath + Neurotech Boston conference on September 24, 2018 at the MIT Media Lab
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Gait sensor could detect Alzheimer’s, identify fall risk
Newcastle University’s Lynn Rochester has studied the use of wearable sensors to identify walking characteristics as clinical biomarkers for Alzheimer’s Disease. The same sensors can detect gait changes that require intervention to prevent falls and prolong independence. According to Rochester, “free-living gait analysis at home is particularly useful as it allows objective observation of an…
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Saliva-monitoring chip to track bone loss, diabetes, inflammatory markers
Washington University’s Erica Lynn Scheller and Shantanu Chakrabartty are developing a gum or dental device-worn sensor to detect early signs of disease by analyzing saliva or gingival crevicular fluid. The sensor plus electronic chip is a few millimeters-cube in volume and measures disease-specific peptides. A wireless ultrasound device reads the peptide levels and connects to the cloud.…
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Ed Boyden on tools for mapping, repairing brain circuitry | ApplySci @ Stanford
Ed Boyden discussed tools for mapping and repairing brain surgery at ApplySci’s Wearable Tech + Digital Health + Neurotech Silicon Valley conference. Recorded on February 26-27, 2018 at Stanford University Join ApplySci at the 9th Wearable Tech + Digital Health + Neurotech Boston conference on September 24, 2018 at the MIT Media Lab
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Muscle-force measuring wearable
University of Wisconsin’s Darryl Thelen and Jack Martin have developed a noninvasive approach to measuring tendon tension while a person is active. Current wearables can measure movement, but not muscle force. The technology provides insight into motor control and human movement mechanics, and can be applied in orthopedics, rehabilitation, ergonomics, and sports. The device is mounted…
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AI CT analysis speeds stroke identification, treatment
Viz.ai‘s algorithms analyze brain scans and immediately transfer data to ensure rapid stroke treatment. The system connects to a hospital CT and sends alerts when a suspected LVO stroke has been identified. Radiological images are sent to a doctor’s phone. The company claims that the median time from picture to notification is less than 6…
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DARPA’s Justin Sanchez on driving and reshaping biotechnology | ApplySci @ Stanford
DARPA Biological Technologies Office Director Dr. Justin Sanchez on driving and reshaping biotechnology. Recorded at ApplySci’s Wearable Tech + Digital Health + Neurotech Silicon Valley conference on February 26-27, 2018 at Stanford University. Join ApplySci at the 9th Wearable Tech + Digital Health + Neurotech Boston conference on September 25, 2018 at the MIT Media…
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