Fighting Paralysis, Promise on Hypertension & An FDA Breakthrough Label for Alzheimer’s

Photo by Robina Weermeijer on Unsplash

Lead Stories: January 2021

More Bioelectronic Medicine Headlines From January

Corporate News

  • Boston Scientific’s fourth-generation system is indicated for use as an adjunctive therapy for Parkinson’s symptoms that are not adequately controlled with medication; it was launched in Europe in 2020 and a U.S. launch is planned in the coming months.
  • The Scottish Health Technology Group published a recommendation to consider electroCore’s nVNS system gammaCore to be used alongside standard of care to reduce the frequency and intensity of cluster headache attacks.
  • Three companies are taking action to drive growth in neuromodulation: Abbott is launching a digital app to complement its SCS system; Boston Scientific has expanded its SCS portfolio; and Medtronic has begun a DBS trial in patients with Parkinson’s.
  • These SCS systems are “designed to deliver paresthesia-free pain relief in minutes;” WaveWriter Alpha was approved in December 2020 and indicated for chronic pain in the trunk or limbs.

Research News

  • Researchers from the University of California, San Francisco published a new case study suggesting that “adapting deep brain stimulation to a patient’s individual needs could relieve depression symptoms at least temporarily.” The study was published in Nature Medicine.
  • A study found that personalized high-frequency electrical stimulation in the form of neuromodulationmay reduce obsessive-compulsive behaviors.” Notably, the participants experiencing the most severe symptoms also experienced the greatest benefits from the treatment.
  • Researchers present a novel method of treating ‘neurological medical emergencies’ such as fatal seizures: the use of a soft implantable drug delivery device (SID). SID provides critical, prompt treatment avoiding the damage that can occur with elapsed time after the occurrence of the seizure.
  • The study examined wearable devices that monitor muscle activity and have “in-sensor adaptive learning capabilities,” meaning the system can classify hand gestures with remarkable accuracy. The researchers concluded that these findings “could enable a wider range of applications requiring low-latency, adaptive processing of physiological signals, such as electrocardiography or electroencephalography.”




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Alliance for Advancing Bioelectronic Medicine

Alliance for Advancing Bioelectronic Medicine

Committed to accelerating the development and uptake of bioelectronic medicine.

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