South San Francisco, CA, United States of America

Thomas Bengtsson

This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignee: Genentech, Inc.. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Thomas Bengtsson. Retrieved from https://idiyas.com/inventor/thomas-bengtsson-6wdbvyfs

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 = 1.0

ph-index = 1


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Thomas Bengtsson and Deep-Learning Analysis of Eye Images.

Introduction

Thomas Bengtsson is an inventor associated with Genentech, Inc., in South San Francisco, California. His patent work concerns applying deep learning to eye images to predict visual acuity.

Latest Patents

Bengtsson is named on 1 patent: “Using Deep Learning to Process Images of the Eye to Predict Visual Acuity.” The disclosed systems and methods use a machine-learning model to analyze an image of a subject’s eye and predict current or future visual acuity. The approach may support assessment of people with age-related macular degeneration, including diagnosis, treatment-strategy selection, and clinical-study design.

Career Highlights

The available information identifies Bengtsson’s work with Genentech, Inc., and his contribution to an invention applying machine learning to ophthalmic imaging. The patent describes a potential way to use image-based predictions to inform clinical and research decisions.

Collaborations

Jian Dai is identified as Bengtsson’s coworker. The provided information does not specify the nature of their collaboration on the patent.

Conclusion

Thomas Bengtsson’s patent highlights the use of deep learning to interpret eye images and predict visual acuity, with potential applications in age-related macular degeneration care and clinical research.

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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