Basel, Switzerland

Maria Cristina De Vera Mudry

This inventor holds 1 USPTO granted patent and 1 EPO patent. Top assignee: Hoffmann-La Roche Inc.. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Maria Cristina De Vera Mudry. Retrieved from https://idiyas.com/inventor/maria-cristina-de-vera-mudry

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

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Average Co-Inventor Count = 1.0

ph-index = 1


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Maria Cristina De Vera Mudry and Her Patent in Digital Image Analysis.

Introduction

Maria Cristina De Vera Mudry is an inventor associated with Basel, Switzerland. Her patent work concerns methods for analyzing digital images, including applications to medical and histological imaging.

Latest Patents

The available information lists one patent associated with De Vera Mudry: “Method for Analyzing Digital Images.” The disclosed systems and methods address the detection, segmentation, and characterization of isolated or overlapping objects in digital images. One described application is identifying and analyzing crypts in histological images from patients with gastrointestinal disorders. Her listed portfolio includes 1 patent.

Career Highlights

De Vera Mudry is associated with Hoffmann-La Roche Inc. and F. Hoffmann-La Roche AG. Her patent reflects work at the intersection of image analysis and medical research, with potential relevance to examining tissue images.

Collaborations

Her listed collaborators include Filippo Arcadu and Marco Tecilla.

Conclusion

Maria Cristina De Vera Mudry’s listed invention applies digital image analysis techniques to object detection and characterization, including the study of histological images relevant to gastrointestinal disorders.

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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