Patents by Inventor Yogesh P. PANDIT

Yogesh P. PANDIT 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).

  • MULTIMODAL MACHINE LEARNING BASED CLINICAL PREDICTOR
    Publication number: 20230029915
    Abstract: Methods and systems for performing a clinical prediction are provided. In one example, the method comprises: receiving first molecular data of a patient, the first molecular data including at least gene expressions of the patient; receiving first biopsy image data of the patient; processing, using a machine learning model, the first molecular data and the first biopsy image data to perform a clinical prediction of the patient's response to a treatment, wherein the machine learning model is generated or updated based on second molecular data including at least gene expressions and second biopsy image data of a plurality of patients; and generating an output of the clinical prediction.
    Type: Application
    Filed: August 16, 2022
    Publication date: February 2, 2023
    Applicant: Roche Molecular Systems, Inc.
    Inventors: Antoaneta Petkova Vladimirova, Yogesh P. Pandit, Vishakha Sharma, Tod M. Klingler, Hari Singhal
  • Multimodal machine learning based clinical predictor
    Patent number: 11462325
    Abstract: Methods and systems for performing a clinical prediction are provided. In one example, the method comprises: receiving first molecular data of a patient, the first molecular data including at least gene expressions of the patient; receiving first biopsy image data of the patient; processing, using a machine learning model, the first molecular data and the first biopsy image data to perform a clinical prediction of the patient's response to a treatment, wherein the machine learning model is generated or updated based on second molecular data including at least gene expressions and second biopsy image data of a plurality of patients; and generating an output of the clinical prediction.
    Type: Grant
    Filed: September 30, 2019
    Date of Patent: October 4, 2022
    Assignee: Roche Molecular Systems, Inc.
    Inventors: Antoaneta Petkova Vladimirova, Yogesh P. Pandit, Vishakha Sharma, Tod M. Klingler, Hari Singhal
  • MULTIMODAL MACHINE LEARNING BASED CLINICAL PREDICTOR
    Publication number: 20200105413
    Abstract: Methods and systems for performing a clinical prediction are provided. In one example, the method comprises: receiving first molecular data of a patient, the first molecular data including at least gene expressions of the patient; receiving first biopsy image data of the patient; processing, using a machine learning model, the first molecular data and the first biopsy image data to perform a clinical prediction of the patient's response to a treatment, wherein the machine learning model is generated or updated based on second molecular data including at least gene expressions and second biopsy image data of a plurality of patients; and generating an output of the clinical prediction.
    Type: Application
    Filed: September 30, 2019
    Publication date: April 2, 2020
    Inventors: Antoaneta Petkova VLADIMIROVA, Yogesh P. PANDIT, Vishakha SHARMA, Tod M. KLINGLER, Hari SINGHAL