Patents by Inventor Daniel John Paull

Daniel John Paull 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).

  • Publication number: 20240054761
    Abstract: The present disclosure provides a system and method for image analysis which utilize trained neural networks. The system and method are useful for generation and/or analysis of a variety of objects, such as biological cells to determine clonality.
    Type: Application
    Filed: October 2, 2020
    Publication date: February 15, 2024
    Applicants: New York Stem Cell Foundation, Inc., New York Stem Cell Foundation, Inc.
    Inventors: Brodie Fischbacher, Daniel John Paull, Zhongwei Wang
  • Publication number: 20230377355
    Abstract: The present disclosure provides automated methods and systems for implementing a pipeline involving the training and deployment of a predictive model for predicting cellular diseased state (e.g., neurodegenerative disease state such as presence or absence of Parkinson's Disease) and for identifying features specific to a disease. Such a predictive model is trained by using training data generated from at least one cohort of synthetically pooled cells of a known disease state.
    Type: Application
    Filed: May 19, 2023
    Publication date: November 23, 2023
    Inventors: Daniel John Paull, Bianca Migliori