Basel, Switzerland

Andreas Maunz

This inventor holds 3 USPTO granted patents and 4 published patent applications and 1 EPO patent. Top assignee: Hoffmann-La Roche Inc.. Active years: 2025.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Andreas Maunz. Retrieved from https://idiyas.com/inventor/andreas-maunz-n2xyqlqo

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

Calculating rank
USPTO Granted Patents = 3 

% Patents Active = 100.0

 

Average Co-Inventor Count = 3.4

ph-index = 1


Company Filing History:


Years Active: 2025

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3 patents (USPTO):Explore Patents

Title: The Innovations of Andreas Maunz

Introduction

Andreas Maunz is a notable inventor based in Basel, Switzerland. He has made significant contributions to the field of machine learning, particularly in the area of visual acuity prediction and therapeutic response prediction. With a total of 3 patents to his name, Maunz continues to push the boundaries of innovation in healthcare technology.

Latest Patents

One of his latest patents focuses on machine-learning techniques for the prediction of future visual acuity. This invention involves systems and methods that utilize machine-learning models to predict a subject's future visual acuity by processing images of the retina. The system detects retina-related segments and generates segment-specific metrics, which are then analyzed to predict visual acuity outcomes. Another significant patent addresses methods and systems for predicting a subject's response to therapeutic interventions. This invention employs a machine learning component trained on time-series responses and image features to forecast how a subject will respond to administered therapies.

Career Highlights

Throughout his career, Maunz has worked with prominent companies in the pharmaceutical and healthcare sectors, including Hoffmann-La Roche Inc. and F. Hoffmann-La Roche AG. His work has been instrumental in advancing the application of machine learning in medical diagnostics and treatment.

Collaborations

Maunz has collaborated with esteemed colleagues such as Yun Li and Thomas Felix Albrecht, contributing to the development of innovative solutions in his field.

Conclusion

Andreas Maunz exemplifies the spirit of innovation through his groundbreaking work in machine learning and healthcare. His patents not only enhance our understanding of visual acuity but also improve therapeutic outcomes for patients.

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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