Patents by Inventor Fanyi Zhang

Fanyi Zhang 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).

  • SYSTEM AND METHOD FOR PREDICTING SUBJECT ENROLLMENT
    Publication number: 20230026758
    Abstract: A system for predicting subject enrollment for a study includes a time-to-first-enrollment (TTFE) model and a first-enrollment-to-last-enrollment (FELE) model for each site in the study. The TTFE model includes a Gaussian distribution with a generalized linear mixed effects model solved with maximum likelihood point estimation or with Bayesian regression, and the FELE model includes a negative binomial distribution with a generalized linear mixed effects model solved with maximum likelihood point estimation or with Bayesian regression estimation.
    Type: Application
    Filed: October 4, 2022
    Publication date: January 26, 2023
    Inventors: Hrishikesh Karvir, Fanyi Zhang, Jingshu Liu, Michael Elashoff, Christopher Bound
  • System and method for predicting subject enrollment
    Patent number: 11494680
    Abstract: A system for predicting subject enrollment for a study includes a time-to-first-enrollment (TTFE) model and a first-enrollment-to-last-enrollment (FELE) model for each site in the study. The TTFE model includes a Gaussian distribution with a generalized linear mixed effects model solved with maximum likelihood point estimation or with Bayesian regression, and the FELE model includes a negative binomial distribution with a generalized linear mixed effects model solved with maximum likelihood point estimation or with Bayesian regression estimation.
    Type: Grant
    Filed: May 15, 2018
    Date of Patent: November 8, 2022
    Assignee: MEDIDATA SOLUTIONS, INC.
    Inventors: Hrishikesh Karvir, Fanyi Zhang, Jingshu Liu, Michael Elashoff, Christopher Bound
  • SYSTEM AND METHOD FOR PREDICTING SUBJECT ENROLLMENT
    Publication number: 20190354888
    Abstract: A system for predicting subject enrollment for a study includes a time-to-first-enrollment (TTFE) model and a first-enrollment-to-last-enrollment (FELE) model for each site in the study. The TTFE model includes a Gaussian distribution with a generalized linear mixed effects model solved with maximum likelihood point estimation or with Bayesian regression, and the FELE model includes a negative binomial distribution with a generalized linear mixed effects model solved with maximum likelihood point estimation or with Bayesian regression estimation.
    Type: Application
    Filed: May 15, 2018
    Publication date: November 21, 2019
    Inventors: Hrishikesh Karvir, Fanyi Zhang, Jingshu Liu, Michael Elashoff, Christopher Bound