Cambridge, United Kingdom

Adrian Mark Freeman

This inventor holds 1 USPTO granted patent. Top assignee: Astrazeneca Ab. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Adrian Mark Freeman. Retrieved from https://idiyas.com/inventor/adrian-mark-freeman

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

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Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Adrian Mark Freeman and Automated Wound Tissue Assessment.

Introduction

Adrian Mark Freeman is an inventor associated with Cambridge, Great Britain, and AstraZeneca AB. His patent work concerns the use of optical imaging and deep learning to assess wound tissue.

Latest Patents

Freeman is associated with one patent, titled “Automated Assessment of Wound Tissue.” The invention describes a method that obtains one or more optical coherence tomography images of a wound and analyzes them with a deep learning model. Trained to classify image pixels into classes representing different types of wound tissue, the model indicates where each tissue type is likely located in the images. This approach could support more detailed, image-based wound assessment. 1 patent.

Career Highlights

Freeman’s listed company affiliation is AstraZeneca AB. His patent reflects work at the intersection of medical imaging, machine learning, and wound assessment.

Collaborations

Yinhai Wang is identified as Freeman’s coworker. The available information does not specify Wang’s role in the patent or the nature of their collaboration.

Conclusion

Adrian Mark Freeman’s patent describes a deep-learning approach to identifying wound tissue types in optical coherence tomography images, connecting computational analysis with medical assessment.

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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