This inventor holds 1 USPTO granted patent and 1 EPO patent. Top assignees: Centre Hospitalier Régional Universitaire De Lille, National Institute of Health and Medical Research, Université De Lille. 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: Régis Bordet: Innovator in Neurodegenerative Disease Prediction
Introduction
Régis Bordet is a notable inventor based in Lille, France. He has made significant contributions to the field of neurodegenerative disease prediction. His innovative work focuses on developing methods to predict cognitive decline in patients, particularly those at risk for conditions such as strokes and Parkinson's disease.
Latest Patents
Régis Bordet holds a patent for a method aimed at early prediction of neurodegenerative decline. This invention utilizes radiomics, which involves extracting texture features from previously-acquired medical brain images. By correlating these features with clinical and biological data, the method generates a score that indicates a patient's risk of neurodegenerative decline. The method has demonstrated a mean accuracy of 88% in predicting mild cognitive impairment (MCI) patients and has effectively identified early stages of cognitive decline in a cohort of Parkinson's disease patients.
Career Highlights
Throughout his career, Régis Bordet has worked with esteemed institutions such as the National Institute of Health and Medical Research and Université de Lille. His research has focused on the intersection of medical imaging and cognitive health, contributing to advancements in predictive diagnostics.
Collaborations
Régis Bordet has collaborated with Nacim Betrouni, enhancing the research and development of his innovative methods. Their partnership has been instrumental in refining the techniques used in predicting neurodegenerative decline.
Conclusion
Régis Bordet's work in the field of neurodegenerative disease prediction exemplifies the impact of innovative research on healthcare. His patented method represents a significant advancement in early diagnosis, potentially improving outcomes for patients at risk of cognitive decline.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile