Patents by Inventor Newton J. Piccone

Newton J. Piccone 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).

  • Cognitive systems for allocating medical data access permissions using historical correlations
    Patent number: 10691827
    Abstract: Embodiments of the present invention provide a computer-implemented method for allocating medical data access permissions using historical correlations. The method receives a request for medical research data from a user. The method executes natural language processing to interpret the received request. The method generates a database query based on a trained model to identify a medical research data set that is responsive to the request. The method queries one or more medical databases using the generated query to identify the medical research data set that is responsive to the request. The medical research data set that is identified includes the requested medical research data as well as additional medical research data that, although not requested by the user, is found to be relevant to the request based on the trained model. The method includes transmitting the medical research data set to the user.
    Type: Grant
    Filed: December 18, 2017
    Date of Patent: June 23, 2020
    Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Iyanna Briscoe, Steven L. Harrington, Tyler N. King, Newton J. Piccone
  • COGNITIVE SYSTEMS FOR ALLOCATING MEDICAL DATA ACCESS PERMISSIONS USING HISTORICAL CORRELATIONS
    Publication number: 20190188410
    Abstract: Embodiments of the present invention provide a computer-implemented method for allocating medical data access permissions using historical correlations. The method receives a request for medical research data from a user. The method executes natural language processing to interpret the received request. The method generates a database query based on a trained model to identify a medical research data set that is responsive to the request. The method queries one or more medical databases using the generated query to identify the medical research data set that is responsive to the request. The medical research data set that is identified includes the requested medical research data as well as additional medical research data that, although not requested by the user, is found to be relevant to the request based on the trained model. The method includes transmitting the medical research data set to the user.
    Type: Application
    Filed: December 18, 2017
    Publication date: June 20, 2019
    Inventors: Iyanna Briscoe, Steven L. Harrington, Tyler N. King, Newton J. Piccone