Concepción, Chile

Giancarlo De Ferrari

This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignee: University of Washington. Active years: 2010.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Giancarlo De Ferrari. Retrieved from https://idiyas.com/inventor/giancarlo-de-ferrari

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

USPTO Granted Patents = 1 

Average Co-Inventor Count = 2.0

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:


Years Active: 2010

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1 patent (USPTO):Explore Patents

Title: Giancarlo De Ferrari: Innovator in Alzheimer's Disease Prediction

Introduction

Giancarlo De Ferrari is a notable inventor based in Concepcion, Chile. He has made significant contributions to the field of medical diagnostics, particularly in the prediction of late-onset Alzheimer's disease. His innovative approach has the potential to enhance early detection and improve patient outcomes.

Latest Patents

De Ferrari holds a patent titled "Methods for predicting late onset Alzheimer disease in an individual." This patent focuses on methods for diagnosis or prognosis of late-onset Alzheimer's disease by detecting at least one polymorphism of a low-density lipoprotein receptor-related protein 6 gene. This groundbreaking work is crucial for advancing our understanding of Alzheimer's disease and its early indicators.

Career Highlights

Giancarlo De Ferrari is affiliated with the University of Washington, where he continues to engage in research and development in the field of neurodegenerative diseases. His work is characterized by a commitment to improving diagnostic methods and patient care.

Collaborations

De Ferrari collaborates with Randall Todd Moon, contributing to the advancement of research in Alzheimer's disease. Their partnership exemplifies the importance of teamwork in scientific innovation.

Conclusion

Giancarlo De Ferrari's contributions to the field of Alzheimer's disease prediction highlight the importance of innovative research in medical diagnostics. His work not only furthers scientific understanding but also has the potential to significantly impact patient care.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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