Company Filing History:
Years Active: 2025
Title: Innovations by Juan Wang in Neural Network Formation
Introduction
Juan Wang is an accomplished inventor based in Shanghai, China. He has made significant contributions to the field of neural engineering through his innovative patent. His work focuses on the development of conductive scaffolds that facilitate the formation of neural networks.
Latest Patents
Juan Wang holds a patent for "Conductive scaffolds for guided neural network formation." This invention relates to the manufacture of conductive scaffolds made from micro and/or nanofibers using various printing techniques, such as near-field electrostatic printing and inkjet printing. These scaffolds enable the creation of two-dimensional (2D) or three-dimensional (3D) neural networks that mimic their natural counterparts. The applications of these patterned conductive scaffolds are extensive, including engineered conduits for guiding the differentiation and outgrowth of neural cells in cases of peripheral nerve damage or large-volume spinal cord injuries under electrical stimulation. Additionally, these scaffolds can locally deliver various biomolecules in conjunction with electrical stimulation to enhance nervous system regeneration.
Career Highlights
Juan Wang is affiliated with the Stevens Institute of Technology, where he continues to advance his research in neural engineering. His innovative work has garnered attention in the scientific community, contributing to the understanding and development of neural network technologies.
Collaborations
Juan collaborates with notable colleagues, including Hongjun Wang and Haoyu Wang, who share his passion for advancing neural engineering and related fields.
Conclusion
Juan Wang's innovative contributions to the field of neural network formation through his patented conductive scaffolds highlight his role as a leading inventor in this area. His work not only advances scientific knowledge but also has the potential to significantly impact medical applications in nerve regeneration.