Stanford, CA, United States of America

John D E Gabrieli

This inventor holds 1 USPTO granted patent. Top assignee: Leland Stanford Junior University. Active years: 2002.


% Patents Active = 100.0

Average Co-Inventor Count = 5.0

ph-index = 1

Forward Citations = 30(Granted Patents)


Company Filing History:


Years Active: 2002

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1 patent (USPTO):Explore Patents

Title: John D E Gabrieli: Innovator in Neurological Disorder Diagnosis

Introduction

John D E Gabrieli is a prominent inventor based in Stanford, California. He has made significant contributions to the field of neuroscience, particularly in the diagnosis and prognosis of neurological disorders. His innovative approach focuses on the analysis of cerebral white matter, which plays a crucial role in understanding conditions such as dyslexia.

Latest Patents

Gabrieli holds a patent for a method titled "Analysis of cerebral white matter for prognosis and diagnosis of neurological disorders." This patent outlines a technique for detecting neurological disorders, including dyslexia, by measuring the microstructure of cerebral white matter. The method correlates the microstructure to the presence of the disorder, specifically focusing on the temporo-parietal white matter. The microstructure is assessed using diffusion tensor magnetic resonance imaging (DTI) to determine cerebral white matter anisotropy. He has 1 patent to his name.

Career Highlights

Gabrieli is affiliated with Leland Stanford Junior University, where he conducts research and contributes to advancements in neuroscience. His work has garnered attention for its innovative approach to understanding neurological disorders and their underlying mechanisms.

Collaborations

Throughout his career, Gabrieli has collaborated with notable colleagues, including Maj Hedehus and Russell A Poldrack. These collaborations have further enriched his research and contributed to the development of new methodologies in the field.

Conclusion

John D E Gabrieli's work in the analysis of cerebral white matter represents a significant advancement in the diagnosis of neurological disorders. His innovative methods have the potential to improve the understanding and treatment of conditions like dyslexia.

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