Patents Assigned to ANIXA DIAGNOSTICS CORPORATION
  • Methods for using artificial neural network analysis on flow cytometry data for cancer diagnosis
    Patent number: 11164082
    Abstract: The present disclosure provides methods for applying artificial neural networks to flow cytometry data generated from biological samples to diagnose and characterize cancer in a subject. The disclosure also provides methods of training, testing, and validating artificial neural networks.
    Type: Grant
    Filed: June 6, 2019
    Date of Patent: November 2, 2021
    Assignee: ANIXA DIAGNOSTICS CORPORATION
    Inventors: Amit Kumar, John Roop, Anthony J. Campisi, George Dominguez
  • Methods for using artificial neural network analysis on flow cytometry data for cancer diagnosis
    Patent number: 11056236
    Abstract: The present disclosure provides methods for applying artificial neural networks to flow cytometry data generated from biological samples to diagnose and characterize cancer in a subject.
    Type: Grant
    Filed: January 26, 2018
    Date of Patent: July 6, 2021
    Assignee: ANIXA DIAGNOSTICS CORPORATION
    Inventors: Amit Kumar, John Roop, Anthony J. Campisi
  • Methods for using artificial neural network analysis on flow cytometry data for cancer diagnosis
    Patent number: 10360499
    Abstract: The present disclosure provides methods for applying artificial neural networks to flow cytometry data generated from biological samples to diagnose and characterize cancer in a subject. The disclosure also provides methods of training, testing, and validating artificial neural networks.
    Type: Grant
    Filed: March 5, 2018
    Date of Patent: July 23, 2019
    Assignee: ANIXA DIAGNOSTICS CORPORATION
    Inventors: Amit Kumar, John Roop, Anthony J. Campisi, George Dominguez
  • Methods for using artificial neural network analysis on flow cytometry data for cancer diagnosis
    Patent number: 9934364
    Abstract: The present disclosure provides methods for applying artificial neural networks to flow cytometry data generated from biological samples to diagnose and characterize cancer in a subject.
    Type: Grant
    Filed: February 28, 2017
    Date of Patent: April 3, 2018
    Assignee: ANIXA DIAGNOSTICS CORPORATION
    Inventors: Amit Kumar, John Roop, Anthony J. Campisi
  • Convolutional neural networks for cancer diagnosis
    Patent number: 9739783
    Abstract: The present disclosure provides devices and systems for diagnosing and characterizing cancer in a subject. Devices include microfilters and microfiltration systems useful for the isolation and characterization of cells from a subject.
    Type: Grant
    Filed: July 13, 2016
    Date of Patent: August 22, 2017
    Assignee: ANIXA DIAGNOSTICS CORPORATION
    Inventors: Amit Kumar, John Roop