Patents by Inventor Alexandre Kiazand

Alexandre Kiazand 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).

  • Automated detection of safety signals for pharmacovigilance
    Patent number: 11847415
    Abstract: An embodiment may involve obtaining a set of pre-defined features and a new document; extracting a subset of the pre-defined features from within new document; applying a natural language model to the new document, wherein the natural language model was pre-trained using scientific or medical literature and fine-tuned using a corpus of documents; applying a feature-based model to the subset of the pre-defined features extracted from the new document, wherein the feature-based model was trained with the pre-defined features and the respective labels of the documents; and applying an aggregation model to the classifications of the new document produced by the natural language model and the feature-based model, wherein the aggregation model was trained with prior classifications produced by the natural language model and the feature-based model so that the aggregation model produces a further classification of the new document representing its relevance to pharmacovigilance.
    Type: Grant
    Filed: July 22, 2021
    Date of Patent: December 19, 2023
    Assignee: AstraZeneca AB
    Inventors: Alexandre Kiazand, Robert Hernandez, Antoni Wisniewski, Douglas Domalik, Tony Gill
  • Automated Detection of Safety Signals for Pharmacovigilance
    Publication number: 20220100958
    Abstract: An embodiment may involve obtaining a set of pre-defined features and a new document; extracting a subset of the pre-defined features from within new document; applying a natural language model to the new document, wherein the natural language model was pre-trained using scientific or medical literature and fine-tuned using a corpus of documents; applying a feature-based model to the subset of the pre-defined features extracted from the new document, wherein the feature-based model was trained with the pre-defined features and the respective labels of the documents; and applying an aggregation model to the classifications of the new document produced by the natural language model and the feature-based model, wherein the aggregation model was trained with prior classifications produced by the natural language model and the feature-based model so that the aggregation model produces a further classification of the new document representing its relevance to pharmacovigilance.
    Type: Application
    Filed: July 22, 2021
    Publication date: March 31, 2022
    Inventors: Alexandre Kiazand, Robert Hernandez, Antoni Wisniewski, Douglas Domalik, Tony Gill