Patents by Inventor Mattia Tomasoni

Mattia Tomasoni 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).

  • Travel health optimization simulating health impact of intended user travel using cognitive analytics based on conditions at a geographic location
    Patent number: 11645552
    Abstract: A geographic location to which a user intends to travel, medical information pertaining to the user and conditions at the geographic location that impact health of human beings can be identified. A health impact model can be created for the user, the health impact model analyzing the determined conditions at the geographic location in a context of the accessed medical information pertaining to the user. Based on the analyzing by the health impact model, a score can be assigned to an anticipated health impact on the user of the identified conditions at the geographic location. If the score assigned to the anticipated health impact on the user of the identified conditions at the geographic location exceeds a threshold value, at least one action for the user can be automatically initiated and controlled.
    Type: Grant
    Filed: March 11, 2018
    Date of Patent: May 9, 2023
    Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Paul R. Bastide, Sunil K. Mishra, Anca Sailer, Mattia Tomasoni, Benjamin Wisnewski
  • TRAVEL HEALTH OPTIMIZATION
    Publication number: 20190279069
    Abstract: A geographic location to which a user intends to travel, medical information pertaining to the user and conditions at the geographic location that impact health of human beings can be identified. A health impact model can be created for the user, the health impact model analyzing the determined conditions at the geographic location in a context of the accessed medical information pertaining to the user. Based on the analyzing by the health impact model, a score can be assigned to an anticipated health impact on the user of the identified conditions at the geographic location. If the score assigned to the anticipated health impact on the user of the identified conditions at the geographic location exceeds a threshold value, at least one action for the user can be automatically initiated and controlled.
    Type: Application
    Filed: March 11, 2018
    Publication date: September 12, 2019
    Inventors: Paul R. Bastide, Sunil K. Mishra, Anca Sailer, Mattia Tomasoni, Benjamin Wisnewski
  • Deep learning allergen mapping
    Patent number: 10359292
    Abstract: An entry on an allergen map may be generated by a computer system where a deep learning model is trained using online content data. Allergen content data which contains geographic data may be detected from the online content data. The allergen content data may be analyzed by the computer system and tagged with a quality and intensity indicator. Based on the tagging and the geographic location, an allergen map may be generated.
    Type: Grant
    Filed: April 5, 2017
    Date of Patent: July 23, 2019
    Assignee: International Business Machines Corporation
    Inventors: Paul R. Bastide, Anca Sailer, Benjamin C. Wisnewski, Mattia Tomasoni, Sunil K. Mishra
  • PROCESSING USER MEDICAL COMMUNICATION
    Publication number: 20190042699
    Abstract: A method, a computing system and a computer program product are provided. A medical communication is received and a user who originated the medical communication is identified. The medical communication and the medical history of the identified user are analyzed and values of the attributes of the medical communication are determined. A score for the medical communication is generated based on the determined values of the attributes and the medical history. An action is performed with respect to the identified user based on the generated score for the medical communication.
    Type: Application
    Filed: August 4, 2017
    Publication date: February 7, 2019
    Inventors: Paul R. Bastide, Sunil K. Mishra, Anca Sailer, Mattia Tomasoni, Benjamin C. Wisnewski
  • DEEP LEARNING ALLERGEN MAPPING
    Publication number: 20180292220
    Abstract: An entry on an allergen map may be generated by a computer system where a deep learning model is trained using online content data. Allergen content data which contains geographic data may be detected from the online content data. The allergen content data may be analyzed by the computer system and tagged with a quality and intensity indicator. Based on the tagging and the geographic location, an allergen map may be generated.
    Type: Application
    Filed: April 5, 2017
    Publication date: October 11, 2018
    Inventors: Paul R. Bastide, Anca Sailer, Benjamin C. Wisnewski, Mattia Tomasoni, Sunil K. Mishra
  • DEEP LEARNING ALLERGEN MAPPING
    Publication number: 20180292221
    Abstract: An entry on an allergen map may be generated by a computer system where a deep learning model is trained using online content data. Allergen content data which contains geographic data may be detected from the online content data. The allergen content data may be analyzed by the computer system and tagged with a quality and intensity indicator. Based on the tagging and the geographic location, an allergen map may be generated.
    Type: Application
    Filed: September 14, 2017
    Publication date: October 11, 2018
    Inventors: Paul R. Bastide, Anca Sailer, Benjamin C. Wisnewski, Mattia Tomasoni, Sunil K. Mishra