This inventor holds 2 USPTO granted patents. Top assignee: The Medical College of Wisconsin, Inc.. Active years: 2022.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2022
Title: Gang Chen: Innovator in Brain Disorder Research
Introduction
Gang Chen is a prominent inventor based in Wauwatosa, WI (US). He has made significant contributions to the field of neuroscience, particularly in the detection and prediction of brain disorders. With a total of 2 patents, his work focuses on utilizing advanced methodologies to address critical health issues.
Latest Patents
Gang Chen's latest patents include innovative systems and methods for quantitatively characterizing Alzheimer's disease risk events based on multimodal biomarker data. These systems implement a modified event-based probabilistic model to compute a quantitative index that characterizes Alzheimer's disease risk events based on a temporally ordered sequence of biomarker events. Another notable patent involves systems and methods for the detection and prediction of brain disorders based on neural network interaction. This patent describes how functional connectivity data in the whole brain can be obtained to detect and predict brain disorders, allowing for the classification of individual subjects based on functional connectivity differences.
Career Highlights
Gang Chen is affiliated with the Medical College of Wisconsin, Inc., where he conducts his research. His work has been instrumental in advancing our understanding of brain disorders and their underlying mechanisms.
Collaborations
Some of his notable coworkers include Shi-Jiang Li and Guangyu Chen, who contribute to the collaborative efforts in his research endeavors.
Conclusion
Gang Chen's innovative work in the field of neuroscience highlights the importance of research in understanding and addressing brain disorders. His patents reflect a commitment to improving diagnostic and predictive methodologies in healthcare.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
