Patents by Inventor Charles Floyd Spurlock, III

Charles Floyd Spurlock, III 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).

  • DISEASE MONITORING FROM INSURANCE CLAIMS DATA
    Publication number: 20240029892
    Abstract: The invention provides methods for identifying a disease status in a patient from claims data. A machine learning algorithm may be trained to report that a given patient is possibly affected by a disease, and the machine learning algorithm may be able to do so long before disease symptoms manifest to a problematic degree. The machine learning algorithm may be able to give an early warning that a patient is at a high risk of disease based principally on inputs provided in the form of insurance claims data.
    Type: Application
    Filed: July 31, 2023
    Publication date: January 25, 2024
    Inventor: Charles Floyd Spurlock, III
  • Long non-coding RNA gene expression signatures in disease diagnosis
    Patent number: 11708600
    Abstract: Differential expression of long non-coding RNAs (lncRNAs) and enhancer RNAs (eRNAs) are used to diagnose diseases including neurological diseases, inflammatory diseases, rheumatic diseases, and autoimmune diseases. Machine learning systems are used to identify lncRNAs or eRNAs having differential expression correlated with certain disease states.
    Type: Grant
    Filed: June 18, 2018
    Date of Patent: July 25, 2023
    Assignee: DECODE HEALTH, INC.
    Inventor: Charles Floyd Spurlock, III
  • LONG NON-CODING RNA GENE EXPRESSION SIGNATURES IN DISEASE MONITORING AND TREATMENT
    Publication number: 20220112541
    Abstract: Differential expression of long non-coding RNAs (lncRNAs) and enhancer RNAs (eRNAs) are used to monitor diseases and determine therapeutic efficacy in, for example, neurological diseases, inflammatory diseases, rheumatic diseases, and autoimmune diseases. Machine learning systems are used to identify lncRNAs or eRNAs having differential expression correlated with responsiveness to various therapies.
    Type: Application
    Filed: April 19, 2021
    Publication date: April 14, 2022
    Inventor: Charles Floyd Spurlock, III
  • Long non-coding RNA gene expression signatures in disease monitoring and treatment
    Patent number: 10982259
    Abstract: Differential expression of long non-coding RNAs (lncRNAs) and enhancer RNAs (eRNAs) are used to monitor diseases and determine therapeutic efficacy in, for example, neurological diseases, inflammatory diseases, rheumatic diseases, and autoimmune diseases. Machine learning systems are used to identify lncRNAs or eRNAs having differential expression correlated with responsiveness to various therapies.
    Type: Grant
    Filed: October 5, 2018
    Date of Patent: April 20, 2021
    Assignee: IQUITY, INC.
    Inventor: Charles Floyd Spurlock, III
  • LONG NON-CODING RNA GENE EXPRESSION SIGNATURES IN DISEASE MONITORING AND TREATMENT
    Publication number: 20190119730
    Abstract: Differential expression of long non-coding RNAs (lncRNAs) and enhancer RNAs (eRNAs) are used to monitor diseases and determine therapeutic efficacy in, for example, neurological diseases, inflammatory diseases, rheumatic diseases, and autoimmune diseases. Machine learning systems are used to identify lncRNAs or eRNAs having differential expression correlated with responsiveness to various therapies.
    Type: Application
    Filed: October 5, 2018
    Publication date: April 25, 2019
    Inventor: Charles Floyd Spurlock, III
  • DISEASE MONITORING FROM INSURANCE CLAIMS DATA
    Publication number: 20190108915
    Abstract: The invention provides methods for identifying a disease status in a patient from claims data. A machine learning algorithm may be trained to report that a given patient is possibly affected by a disease, and the machine learning algorithm may be able to do so long before disease symptoms manifest to a problematic degree. The machine learning algorithm may be able to give an early warning that a patient is at a high risk of disease based principally on inputs provided in the form of insurance claims data.
    Type: Application
    Filed: October 5, 2018
    Publication date: April 11, 2019
    Inventor: Charles Floyd Spurlock, III
  • LONG NON-CODING RNA GENE EXPRESSION SIGNATURES IN DISEASE DIAGNOSIS
    Publication number: 20190106732
    Abstract: Differential expression of long non-coding RNAs (lncRNAs) and enhancer RNAs (eRNAs) are used to diagnose diseases including neurological diseases, inflammatory diseases, rheumatic diseases, and autoimmune diseases. Machine learning systems are used to identify lncRNAs or eRNAs having differential expression correlated with certain disease states.
    Type: Application
    Filed: June 18, 2018
    Publication date: April 11, 2019
    Inventor: Charles Floyd Spurlock, III