Patents by Inventor Sara PIERI

Sara PIERI has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Patent number: 12725615
    Abstract: A computer-implemented system and computer instructions stored on non-transitory computer readable medium for bilingual medical inquiry in both Arabic and English, including multiple-choice question answering, open-ended question answering, and multi-turn question answering. The system and instructions use a mixture of experts large language model (MOE LLM) having a router network connected to multiple expert networks. The MOE LLM is trained with medical domain data and is used to receive the input bilingual text in a format for a medical inquiry, and output text in a format of a response to the medical inquiry, in sequence. The system and instructions incorporate an English-to-Arabic translation pipeline having a language translation model to generate Arabic language medical instruction sets from English language medical instructions, for large scale use in Arabic and English medical inquiry.
    Type: Grant
    Filed: October 2, 2024
    Date of Patent: September 1, 2026
    Assignee: MOHAMED BIN ZAYED UNIVERSITY OF ARTIFICIAL INTELLIGENCE
    Inventors: Sara Pieri, Sahal Shaji Mullappilly, Fahad Khan, Rao Anwer, Salman Khan, Timothy Baldwin, Hisham Cholakkal
  • Publication number: 20250266037
    Abstract: A computer-implemented system and computer instructions stored on non-transitory computer readable medium for bilingual medical inquiry in both Arabic and English, including multiple-choice question answering, open-ended question answering, and multi-turn question answering. The system and instructions use a mixture of experts large language model (MOE LLM) having a router network connected to multiple expert networks. The MOE LLM is trained with medical domain data and is used to receive the input bilingual text in a format for a medical inquiry, and output text in a format of a response to the medical inquiry, in sequence. The system and instructions incorporate an English-to-Arabic translation pipeline having a language translation model to generate Arabic language medical instruction sets from English language medical instructions, for large scale use in Arabic and English medical inquiry.
    Type: Application
    Filed: October 2, 2024
    Publication date: August 21, 2025
    Applicant: MOHAMED BIN ZAYED UNIVERSITY OF ARTIFICIAL INTELLIGENCE
    Inventors: Sara PIERI, Sahal Shaji MULLAPPILLY, Fahad KHAN, Rao ANWER, Salman KHAN, Timothy BALDWIN, Hisham CHOLAKKAL