Bryan Howell

Title: The Innovative Contributions of Bryan Howell in Spinal Cord Stimulation

Introduction

Bryan Howell is a distinguished inventor based in Durham, NC, recognized for his significant contributions to the field of spinal cord stimulation. With two patents to his name, Howell has demonstrated a commitment to improving patient outcomes through innovative technologies.

Latest Patents

Bryan Howell's latest patents focus on systems and methods that utilize model-based optimization to enhance spinal cord stimulation parameters. One patent details a groundbreaking system that develops patient-specific anatomical and electrical models based on pre-operative imaging. By calculating electrical potential distributions and stimulating neural elements, this technology allows for precise adjustments to stimulation parameters, including geometry, configuration, and signal characteristics. His second patent outlines methods for optimizing spinal cord stimulation electrodes, which involve creating a patient-specific electroanatomical model. This model assists in determining the activation thresholds of target and non-target neural elements, allowing for the development of an optimal configuration for spinal cord stimulation.

Career Highlights

Bryan Howell is affiliated with Duke University, where he works at the forefront of research and innovation in spinal cord stimulation. His work reflects a blend of advanced technology and practical applications, aimed at enhancing therapeutic options for patients suffering from chronic pain or other neurological conditions.

Collaborations

Throughout his career, Howell has collaborated with notable colleagues, including Warren M. Grill and Shivanand Lad. Their joint efforts in research further signify his standing in the scientific community and contribute to the advancement of technologies related to spinal cord stimulation.

Conclusion

Bryan Howell's contributions in the realm of spinal cord stimulation through his patents represent an important stride towards personalized medicine. His innovative approaches not only advance the medical field but also highlight the potential of model-based optimization in developing more effective therapeutic solutions for patients.