Patents Assigned to University of Souther California
  • Prediction of network events via rule set representations of machine learning models
    Patent number: 11669751
    Abstract: A processing system including at least one processor may obtain a time series of measurement values from a communication network and train a prediction model in accordance with the time series of measurement values to predict future instances of an event of interest, where the time series of measurement values is labeled with one or more indicators of instances of the event of interest. The processing system may then generate a deterministic finite automaton based upon the prediction model, convert the deterministic finite automaton into a rule set, and deploy the rule set to at least one network component of the communication network.
    Type: Grant
    Filed: November 27, 2020
    Date of Patent: June 6, 2023
    Assignees: AT&T Intellectual Property I, L.P., PRESIDENT AND FELLOWS OF HARVARD COLLEGE, UNIVERSITY OF SOUTHER CALIFORNIA
    Inventors: Yaron Kanza, Balachander Krishnamurthy, Sivaramakrishnan Ramanathan, Minian Yu, Jelena Mirkovic
  • Measurement of succinate in urine samples as a biomarker of kidney damage in diabetic subjects
    Patent number: 8652771
    Abstract: The present invention relates in general to the discovery of urinary succinate as a novel biomarker of kidney disease. More specifically, the invention provides for the measurement of succinate in urine samples that has great potential for the easy and early diagnosis of kidney damage and would allow early prediction of kidney disease and therapeutic intervention.
    Type: Grant
    Filed: May 27, 2009
    Date of Patent: February 18, 2014
    Assignee: University of Souther California
    Inventor: Janos Peti-Peterdi