DEEP TECH HEALTH + NEUROTECH
Stanford’s Sanjiv Gambhir has developed an imaging molecule that can identify pancreatic, cervical and lung cancer early– and, surprisigly, hard-to-detect idiopathic pulmonary fibrosis. The tracer clings to integrin alpha-v beta-6. In a PET scan, the tracer glows due to radioactivity emissions, which allows doctors to see exactly where the tracer is docked in the body. A […]
NINDS researcher Lawrence Latour has used an advanced imaging method to detect vascular microbleeds after head injury. The lesions, which are too small to be detected by CT, may predict worse outcomes. 439 head injury patients who were treated in the emergency department were studied. MRI scans within 48 hours of injury, and again […]
Stanford’s Hongjie Dai has developed a deep-tissue imaging technique that clearly illuminates tumors beneath the skin. It relies on nanoparticles containing erbium, which glows in the infrared. The promising technology has only been tested on mice, so far. In a study, the technique was used to predict cancer patient response to immunotherapy, and to measure drug […]
Stanford’s Euan Ashley has conducted an entirely digital clinical trial using the MyHeart Counts app, which is being used for patient recruitment, consent and interventions, and returns data to participants. 1075 participants completed at least one intervention, and 493 completed the entire trial. The higher than normal completion rate was attributed to the ease of enrollment […]
Helen Mayberg at Mount Sinai has published a study showing that deep brain stimulation of the subcallosal cingulate provides a lasting antidepressant effect in treatment-resistant depression. According to Mayberg: “Over eight years of observation, most of our study participants experienced an antidepressant response to the deep brain stimulation of Area 25 that was robust and […]
Alim Louis Benabid and Clinatec/University of Grenoble colleagues have developed a brain computer interface controlled exoskeleton that enabled a tetraplegic man to walk and move his arms. Two 64 electrode brain implants drove the system. Benabid explained the benefits, stating that “previous brain-computer studies have used more invasive recording devices implanted beneath the outermost membrane of the […]
UT Dallas researchers Mohsen Jafarzadeh, Yonas Tadesse, and colleagues are using AI to control prosthetic hands with raw EMG signals. The real-time convolutional neural network, which does not require preprocessing, results in faster and more accurate data classification and faster hand movements. User data re-trains the system to personalize actions. Join ApplySci at the 12th Wearable Tech […]
Imperial College’s Timothy Rawson has developed a non-invasive microneedle bionsor patch capable of detecting antibiotic levels in the body. The goal is to reduce the need for blood sampling and analysis, optimize dosage, reduce drug-resistant infections and offer personalized drug delivery, both inside and outside of the hospital. A recent study showed that the accuracy of the real-time […]
Click to view Christof Koch’s talk on brain health – recorded at ApplySci’s 11th Wearable Tech + Digital Health + Neurotech conference at Stanford University on February 21, 2019. Join us at the 12th and 13th ApplySci conferences, at Harvard Medical School on November 14, 2019, and February 11-12, 2020 at the Quadrus Center on […]
Congratulations to CTRL-Labs and Lux Capital on Facebook’s acquisition of the four year old Neurotech startup. The company, whose technology assists in decoding brain activity and intention, will join Facebook’s AR/VR team. CTRL-Labs participated in a recent ApplySci panel of startups at Stanford led by Lux Capital’s Shahin Farshchi. Facebook presented its Brain Computer Interface work at the […]