Patents by Inventor Alicia Cuevas

Alicia Cuevas 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: 20240412361
    Abstract: Embodiments of the disclosure include methods for implementing a predictive model that predicts pluripotency of cells through a cost efficient and non-destructive means. The predictive model analyzes contrast images captured from the cells and outputs predictions of cellular pluripotency at the cellular level. Thus, implementation of the predictive model guides the selection and isolation of cells that are predicted to be pluripotent. Furthermore, the predictive model facilitates retrospective analyses to correlate pluripotency metrics with differentiation success and further enables tracking of cellular pluripotency over time (e.g., to evaluate differentiation of cells).
    Type: Application
    Filed: June 18, 2024
    Publication date: December 12, 2024
    Inventors: Matthew Chen, Lauren Schiff, Alicia Cuevas, Kelly Haston, Haoyang Zeng, Cody Scandore
  • Patent number: 12045982
    Abstract: Embodiments of the disclosure include methods for implementing a predictive model that predicts pluripotency of cells through a cost efficient and non-destructive means. The predictive model analyzes contrast images captured from the cells and outputs predictions of cellular pluripotency at the cellular level. Thus, implementation of the predictive model guides the selection and isolation of cells that are predicted to be pluripotent. Furthermore, the predictive model facilitates retrospective analyses to correlate pluripotency metrics with differentiation success and further enables tracking of cellular pluripotency over time (e.g., to evaluate differentiation of cells).
    Type: Grant
    Filed: August 11, 2023
    Date of Patent: July 23, 2024
    Assignee: INSITRO, INC.
    Inventors: Matthew Chen, Lauren Schiff, Alicia Cuevas, Kelly Haston, Haoyang Zeng, Cody Scandore
  • Publication number: 20230401704
    Abstract: Embodiments of the disclosure include methods for implementing a predictive model that predicts pluripotency of cells through a cost efficient and non-destructive means. The predictive model analyzes contrast images captured from the cells and outputs predictions of cellular pluripotency at the cellular level. Thus, implementation of the predictive model guides the selection and isolation of cells that are predicted to be pluripotent. Furthermore, the predictive model facilitates retrospective analyses to correlate pluripotency metrics with differentiation success and further enables tracking of cellular pluripotency over time (e.g., to evaluate differentiation of cells).
    Type: Application
    Filed: August 11, 2023
    Publication date: December 14, 2023
    Inventors: Matthew Chen, Lauren Schiff, Alicia Cuevas, Kelly Haston, Haoyang Zeng, Cody Scandore