Patents by Inventor Laura Jane Mariano

Laura Jane Mariano 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).

  • Deep learning architecture for cognitive examination subscore trajectory prediction in Alzheimer's disease
    Patent number: 10898125
    Abstract: A method of predicting progression of a cognitive state in a subject is disclosed including obtaining a neuroimage of the subject, acquiring a data sample from the neuroimage, selecting a time at which to predict progression of the cognitive state, and performing a calculation on the data sample by a transformation function to determine data associated with multiple cognitive metrics. A method of evaluating a cognitive state of a subject is also disclosed including providing a convolutional neural network, training the convolutional neural network with reference data to construct a transformation function, using the transformation function to predict multiple cognitive metrics from a subject data sample and a selected time, and determining the cognitive state of the subject from the predicted cognitive metrics. A cognitive evaluation system is also disclosed including a memory, a processor, and a cognitive state prediction component configured to program the processor with a transformation function.
    Type: Grant
    Filed: January 21, 2020
    Date of Patent: January 26, 2021
    Assignee: THE CHARLES STARK DRAPER LABORATORY, INC.
    Inventors: Lev E. Givon, Laura Jane Mariano, Abraham Schneider, John Irvine
  • DEEP LEARNING ARCHITECTURE FOR COGNITIVE EXAMINATION SUBSCORE TRAJECTORY PREDICTION IN ALZHEIMER'S DISEASE
    Publication number: 20200229753
    Abstract: A method of predicting progression of a cognitive state in a subject is disclosed including obtaining a neuroimage of the subject, acquiring a data sample from the neuroimage, selecting a time at which to predict progression of the cognitive state, and performing a calculation on the data sample by a transformation function to determine data associated with multiple cognitive metrics. A method of evaluating a cognitive state of a subject is also disclosed including providing a convolutional neural network, training the convolutional neural network with reference data to construct a transformation function, using the transformation function to predict multiple cognitive metrics from a subject data sample and a selected time, and determining the cognitive state of the subject from the predicted cognitive metrics. A cognitive evaluation system is also disclosed including a memory, a processor, and a cognitive state prediction component configured to program the processor with a transformation function.
    Type: Application
    Filed: January 21, 2020
    Publication date: July 23, 2020
    Inventors: Lev E. Givon, Laura Jane Mariano, Abraham Schneider, John Irvine
  • Biophysical sensing systems and methods using non-contact electric field detectors
    Patent number: 10531805
    Abstract: Aspects are generally directed to systems and methods that integrate contactless electric field detectors to measure biophysical signals generated by a body. In one example, a biophysical sensing system includes a sensing assembly including an array of contactless electric field detectors, each of the contactless electric field detectors being configured to sense a corresponding component of an electric field generated by a body, a control system to receive sensor data indicative of the components of the electric field sensed by each of the contactless electric field detectors, the control system being configured to generate an estimate of the electric field based on the sensor data, and a feedback system coupled to at least the control system, the feedback system including at least one feedback interface, the feedback system being configured to operate the feedback interface to provide feedback based on the estimate of the electric field.
    Type: Grant
    Filed: September 29, 2017
    Date of Patent: January 14, 2020
    Assignee: THE CHARLES STARK DRAPER LABORATORY, INC.
    Inventors: James A. Bickford, Louis Kratchman, Daniel Freeman, Laura Jane Mariano
  • Method for integrating and fusing heterogeneous data types to perform predictive analysis
    Patent number: 10304006
    Abstract: A method and system for predicting the onset of a disease is provided.
    Type: Grant
    Filed: February 18, 2014
    Date of Patent: May 28, 2019
    Assignee: THE CHARLES STARK DRAPER LABORATORY, INC.
    Inventors: Nirmal Keshava, Laura Jane Mariano
  • DEEP LEARNING ARCHITECTURE FOR COGNITIVE EXAMINATION SUBSCORE TRAJECTORY PREDICTION IN ALZHEIMER'S DISEASE
    Publication number: 20180310870
    Abstract: A method of predicting progression of a cognitive state in a subject is disclosed including obtaining a neuroimage of the subject, acquiring a data sample from the neuroimage, selecting a time at which to predict progression of the cognitive state, and performing a calculation on the data sample by a transformation function to determine data associated with multiple cognitive metrics. A method of evaluating a cognitive state of a subject is also disclosed including providing a convolutional neural network, training the convolutional neural network with reference data to construct a transformation function, using the transformation function to predict multiple cognitive metrics from a subject data sample and a selected time, and determining the cognitive state of the subject from the predicted cognitive metrics. A cognitive evaluation system is also disclosed including a memory, a processor, and a cognitive state prediction component configured to program the processor with a transformation function.
    Type: Application
    Filed: May 1, 2018
    Publication date: November 1, 2018
    Inventors: Lev E. Givon, Laura Jane Mariano, Abraham Schneider, John Irvine
  • BIOPHYSICAL SENSING SYSTEMS AND METHODS USING NON-CONTACT ELECTRIC FIELD DETECTORS
    Publication number: 20180092557
    Abstract: Aspects are generally directed to systems and methods that integrate contactless electric field detectors to measure biophysical signals generated by a body. In one example, a biophysical sensing system includes a sensing assembly including an array of contactless electric field detectors, each of the contactless electric field detectors being configured to sense a corresponding component of an electric field generated by a body, a control system to receive sensor data indicative of the components of the electric field sensed by each of the contactless electric field detectors, the control system being configured to generate an estimate of the electric field based on the sensor data, and a feedback system coupled to at least the control system, the feedback system including at least one feedback interface, the feedback system being configured to operate the feedback interface to provide feedback based on the estimate of the electric field.
    Type: Application
    Filed: September 29, 2017
    Publication date: April 5, 2018
    Inventors: James A. Bickford, Louis Kratchman, Daniel Freeman, Laura Jane Mariano
  • METHOD FOR INTEGRATING AND FUSING HETEROGENEOUS DATA TYPES TO PERFORM PREDICTIVE ANALYSIS
    Publication number: 20140236872
    Abstract: A method and system for predicting the onset of a disease is provided.
    Type: Application
    Filed: February 18, 2014
    Publication date: August 21, 2014
    Inventors: Nirmal Keshava, Laura Jane Mariano