Patents by Inventor William Arthur Hoos

William Arthur Hoos 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
  • Patent number: 8979730
    Abstract: The disclosed system and method provide for the automatic assessment of the presence/severity of the sleep problem and its exact nature. The assessment is based on qualitative information about sleep patterns, insomnia-related factors and daytime consequences, as well as quantitative information about sleep patterns measured by a sensor. By combining the different sources of information (subjective as well as objective data), the diagnosis gives more insight into the nature of the sleep problem and is therefore more accurate. Furthermore, the disclosed system may be used to select specific components of the system that are medically relevant to the individual and therefore create a personalized program. The system teaches a selection of self-management skills that could help the individual to better cope with sleep disturbances and target those factors that maintain the problem or make it worse by a particular individual.
    Type: Grant
    Filed: June 1, 2010
    Date of Patent: March 17, 2015
    Assignee: Koninklijke Philips N.V.
    Inventors: Elke Naujokat, Hui Zhang, Sandrine Magali Laure Devot, William Arthur Hoos, Antonius Arnoldus Johannes Rademaker