This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignee: Stevens Institute of Technology. Active years: 2025.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2025
Title: Innovations by Inventor Ning Wang
Introduction
Ning Wang is an accomplished inventor based in Jersey City, NJ (US). He has made significant contributions to the field of artificial intelligence, particularly in the early detection of Alzheimer's disease. His innovative work focuses on leveraging language processing capabilities to enhance diagnostic accuracy.
Latest Patents
Ning Wang holds a patent for an "Explainable CNN-attention network (C-attention network) architecture for automated detection of Alzheimer's disease." This patent presents three artificial intelligence linguistic processing architectures designed for the early detection of Alzheimer's disease based entirely on a patient's language abilities. The architectures include one that utilizes only Part-of-Speech (PoS) features, another that employs only latent features such as language embeddings, and a unified architecture that integrates both feature types.
Career Highlights
Ning Wang is affiliated with the Stevens Institute of Technology, where he continues to advance research in artificial intelligence and its applications in healthcare. His work is pivotal in developing tools that can potentially transform how Alzheimer's disease is diagnosed and monitored.
Collaborations
Ning Wang collaborates with notable colleagues, including Koduvayur P Subbalakshmi and Mingxuan Chen, who contribute to his research endeavors and enhance the impact of his innovations.
Conclusion
Ning Wang's contributions to the field of artificial intelligence, particularly in the context of Alzheimer's disease detection, highlight the importance of interdisciplinary collaboration and innovation. His work exemplifies how technology can be harnessed to improve healthcare outcomes.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
