All Posts By: lisaweiner

Infrared light detects tumors under the skin

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 […]

First all-digital clinical trial studies app-driven physical activity interventions

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 […]

DBS study shows long-term antidepressant effect in treatment-resistant depression

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 […]

Implanted electrodes + algorithm allow thought-driven 4 limb exoskeleton control

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 […]

AI/EMG system improves prosthetic hand control

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 […]

Wearable sensor monitors antibiotic levels in real time

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 […]