Patents by Inventor Ehsan Kazemi

Ehsan Kazemi 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 selecting artificially fertilized embryos
    Patent number: 12014833
    Abstract: A method for classifying human blastocysts includes obtaining images of a set of artificially fertilized (AF) embryos incubating in an incubator. A morphological quality of the AF embryos is determined based on a classification of the images by a convolutional neural network trained using images of pre-classified embryos. Each of the AF embryos is graded based on the morphological quality. A probability that a given graded AF embryo will result in a successful pregnancy after the given AF embryo is implanted in a gestating female is computed for each of the AF embryos from the set based on a grade of the given AF embryo and clinical parameters associated with the gestating female. One or more graded AF embryos to be recommended to be implanted in the gestating female from the set are selected based on the probability of successful pregnancy.
    Type: Grant
    Filed: August 6, 2019
    Date of Patent: June 18, 2024
    Assignees: Cornell University, Yale University
    Inventors: Nikica Zaninovic, Olivier Elemento, Iman Hajirasouliha, Pegah Khosravi, Jonas Malmsten, Zev Rosenwaks, Qiansheng Zhan, Ehsan Kazemi
  • SYSTEM AND METHOD FOR SELECTING ARTIFICIALLY FERTILIZED EMBRYOS
    Publication number: 20210272282
    Abstract: A method for classifying human blastocysts includes obtaining images of a set of artificially fertilized (AF) embryos incubating in an incubator. A morphological quality of the AF embryos is determined based on a classification of the images by a convolutional neural network trained using images of pre-classified embryos. Each of the AF embryos is graded based on the morphological quality. A probability that a given graded AF embryo will result in a successful pregnancy after the given AF embryo is implanted in a gestating female is computed for each of the AF embryos from the set based on a grade of the given AF embryo and clinical parameters associated with the gestating female. One or more graded AF embryos to be recommended to be implanted in the gestating female from the set are selected based on the probability of successful pregnancy.
    Type: Application
    Filed: August 6, 2019
    Publication date: September 2, 2021
    Inventors: Nikica Zaninovic, Olivier Elemento, Iman Hajirasouliha, Pegah Khosravi, Jonah Malmsten, Zev Rosenwaks, Qiansheng Zhan, Ehsan Kazemi