Patents by Inventor Mark Adam SHAPIRO

Mark Adam SHAPIRO 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).

  • Publication number: 20240186023
    Abstract: The present disclosure provides platforms, systems, media, and methods for capturing clinical cases and expert-derived treatment rationales to facilitate biomedical decision making, which can include virtual clinical trials that continuously learn from the experiences of all patients, on all treatments, and all the time. Algorithms such as Bayesian machine learning methods can be applied to coordinate such virtual trials.
    Type: Application
    Filed: December 5, 2023
    Publication date: June 6, 2024
    Inventors: Jeffrey C. SHRAGER, Jay Martin TENENBAUM, Christopher Kelly PORTER, William Arthur HOOS, Mark Adam SHAPIRO
  • Patent number: 11887738
    Abstract: The present disclosure provides platforms, systems, media, and methods for capturing clinical cases and expert-derived treatment rationales to facilitate biomedical decision making, which can include virtual clinical trials that continuously learn from the experiences of all patients, on all treatments, and all the time. Algorithms such as Bayesian machine learning methods can be applied to coordinate such virtual trials.
    Type: Grant
    Filed: July 21, 2020
    Date of Patent: January 30, 2024
    Assignee: CANCER COMMONS
    Inventors: Jeffrey C. Shrager, Jay Martin Tenenbaum, Christopher Kelly Porter, William Arthur Hoos, Mark Adam Shapiro
  • Publication number: 20200411199
    Abstract: The present disclosure provides platforms, systems, media, and methods for capturing clinical cases and expert-derived treatment rationales to facilitate biomedical decision making, which can include virtual clinical trials that continuously learn from the experiences of all patients, on all treatments, and all the time. Algorithms such as Bayesian machine learning methods can be applied to coordinate such virtual trials.
    Type: Application
    Filed: July 21, 2020
    Publication date: December 31, 2020
    Inventors: Jeffrey C. SHRAGER, Jay Martin TENENBAUM, Christopher Kelly PORTER, William Arthur HOOS, Mark Adam SHAPIRO