Abu Dhabi, United Arab Emirates

Sara Pieri

This inventor holds 1 USPTO granted patent. Top assignee: Mohamed Bin Zayed University of Artificial Intelligence. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Sara Pieri. Retrieved from https://idiyas.com/inventor/sara-pieri

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: Sara Pieri and Bilingual Medical AI

Introduction

Sara Pieri is an inventor associated with Mohamed Bin Zayed University of Artificial Intelligence in Abu Dhabi, United Arab Emirates. Her patent work focuses on bilingual medical question answering in Arabic and English.

Latest Patents

Pieri is associated with 1 patent: “Bilingual Medical Mixture of Experts Large Language Model.” The invention describes a computer-implemented system for answering medical inquiries in Arabic and English, including multiple-choice, open-ended, and multi-turn questions. It uses a medical-domain mixture-of-experts large language model, with a router network connected to multiple expert networks, to process inquiries and generate responses. An English-to-Arabic translation pipeline also generates Arabic medical instruction sets from English-language instructions, supporting bilingual medical inquiry at scale.

Career Highlights

Pieri’s listed work connects medical artificial intelligence with multilingual access. The patent’s approach combines specialized language-model components with translation technology to support medical question answering across Arabic and English.

Collaborations

Pieri is associated with Mohamed Bin Zayed University of Artificial Intelligence. Her listed coworker is Sahal Shaji Mullappilly.

Conclusion

Sara Pieri’s patent highlights an effort to make AI-based medical inquiry more accessible in Arabic and English through a specialized language model and translation pipeline.

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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