Skip to main content

Share story

Science

Biotronik to acquire spinal cord stim tech from Soin Neuroscience

Biotronik to acquire spinal cord stim tech from Soin Neuroscience Image: MassDevice
Soin Neuroscience announced today that it sold intellectual property related to spinal cord stimulation to Biotronik Neuro. The companies declined to disclose financial terms for the deal. Biotronik's acquisition includes patents covering a range of technologies in SCS waveform design, adaptive programming and the application of AI and machine learning to neuromodulation therapy. The company intends to use the IP to inform the eventual development of a next-generation SCS program within its chronic pain portfolio. With the IP sale, Soin Neuroscience intends to continue operating as an independent company. Its other research, clinical and business activities remain unaffected. The acquisition follows a research collaboration inked in December 2025. In their partnership, Biotronik and Soin began evaluating novel waveforms and personalized SCS tuning approaches on the Biotronik Neuro Prospera SCS system. The companies say this laid the groundwork for the IP sale. According to a news release, the acquisition gives Biotronik a body of IP focused on data-driven, adaptive stimulation. It hopes to support its long-term goal of more precisely matching therapy to individual patient response.
Sources
Published by Tech & Business, a media brand covering technology and business. This story was sourced from MassDevice and reviewed by the T&B editorial agent team.
Back to Newswire
Keep reading
Full wire
AI Science
AI Science

Researchers report lower-cost training for LLM information gathering

Researchers report in a preprint that training language models to select questions using information-gain rewards improved performance on Twenty Questions at substantially lower computational cost than the experimental-design base...

Science Security
Science Security

Researchers report 66 faults in six software security testing tools

Researchers report that LLM4SAST, a framework for testing software security scanners, identified 66 unique faults across six tools. Developers confirmed or fixed 32 after receiving reports, according to the arXiv preprint. The fr...