Patents by Inventor Dylan Richards

Dylan Richards 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: 20240347164
    Abstract: An estimate of a functional capacity such as VO2Max is made by applying the vital signs of a monitored human to a trained encoding neural network producing a cardio profile vector. The vector is applied to a trained functional capacity (VO2Max) neural network to estimate the functional capacity. Once estimated, an action is taken.
    Type: Application
    Filed: April 17, 2024
    Publication date: October 17, 2024
    Inventor: Dylan Richards
  • Patent number: 12002565
    Abstract: An estimate of a functional capacity such as VO2Max is made by applying the vital signs of a monitored human to a trained encoding neural network producing a cardio profile vector. The vector is applied to a trained functional capacity (VO2Max) neural network to estimate the functional capacity. Once estimated, an action is taken.
    Type: Grant
    Filed: October 3, 2022
    Date of Patent: June 4, 2024
    Assignee: Proliao, Inc.
    Inventor: Dylan Richards
  • Publication number: 20240062065
    Abstract: In aspects, the present approaches allow neural networks to be taught to understand patterns of human behavior without the need of expert data labeling or laboratory studies. First and second neural networks are trained to understand these patterns without labeling. Once trained, the neural networks can be deployed with a trained classifier to determine or classify human activity based upon received sensor inputs.
    Type: Application
    Filed: August 16, 2023
    Publication date: February 22, 2024
    Inventor: Dylan Richards
  • Publication number: 20230033967
    Abstract: An estimate of a functional capacity such as VO2Max is made by applying the vital signs of a monitored human to a trained encoding neural network producing a cardio profile vector. The vector is applied to a trained functional capacity (VO2Max) neural network to estimate the functional capacity. Once estimated, an action is taken.
    Type: Application
    Filed: October 3, 2022
    Publication date: February 2, 2023
    Inventor: Dylan Richards
  • Patent number: 11488702
    Abstract: An estimate of a functional capacity such as VO2Max is made by applying the vital signs of a monitored human to a trained encoding neural network producing a cardio profile vector. The vector is applied to a trained functional capacity (VO2Max) neural network to estimate the functional capacity. Once estimated, an action is taken.
    Type: Grant
    Filed: January 29, 2020
    Date of Patent: November 1, 2022
    Assignee: PhysIQ, Inc.
    Inventor: Dylan Richards
  • Patent number: 10988735
    Abstract: Described herein are tissues containing semiconductor nanomaterials. In some embodiments, the tissues include vascular cells, cardiomyocytes, and/or cardiac fibroblasts. The tissue may be scaffold-free. In some embodiments, the tissue includes an electrically conductive network. The tissue may exhibit synchronized electrical signal propagation within the tissue. In some embodiments, the tissue exhibits increased functional assembly of cardiac cells and/or increased cardiac specific functions compared to a cardiac tissue prepared using a conventional tissue culture method. Methods of preparing and using such tissues are also described herein.
    Type: Grant
    Filed: January 15, 2016
    Date of Patent: April 27, 2021
    Assignees: Clemson University Research Foundation, MUSC Foundation for Research Development, The University of Chicago
    Inventors: Ying Mei, Tan Yu, Dylan Richards, Donald R. Menick, Bozhi Tian
  • Publication number: 20210020293
    Abstract: An estimate of a functional capacity such as VO2Max is made by applying the vital signs of a monitored human to a trained encoding neural network producing a cardio profile vector. The vector is applied to a trained functional capacity (VO2Max) neural network to estimate the functional capacity. Once estimated, an action is taken.
    Type: Application
    Filed: January 29, 2020
    Publication date: January 21, 2021
    Inventor: Dylan Richards
  • Patent number: 10586619
    Abstract: An estimate of a functional capacity such as VO2Max is made by applying the vital signs of a monitored human to a trained encoding neural network producing a cardio profile vector. The vector is applied to a trained functional capacity (VO2Max) neural network to estimate the functional capacity. Once estimated, an action is taken.
    Type: Grant
    Filed: July 18, 2019
    Date of Patent: March 10, 2020
    Assignee: PhysIQ, Inc.
    Inventor: Dylan Richards
  • Publication number: 20170369847
    Abstract: Provided herein are tissues containing semiconductor nanomaterials and methods of preparing and using the same.
    Type: Application
    Filed: January 15, 2016
    Publication date: December 28, 2017
    Inventors: Ying Mei, Tan Yu, Dylan Richards, Donald R. Menick, Bozhi Tian