Patents by Inventor Scott A. Small

Scott A. Small 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).

  • Patent number: 12182969
    Abstract: An exemplary system, method, and computer-accessible medium for detection of functional disorder(s) or aging progression of patient(s) can be provided which can include, for example, receiving magnetic resonance imaging (MRI) information of the portion(s), generating gadolinium (“Gd”) enhanced map(s) based on the MRI information using a machine learning procedure(s), and detecting the functional disorder(s) or aging progression of the patient(s) based on the Gd enhanced map(s). The Gd enhanced map(s) can be a full dosage Gd enhanced map which can be a full dosage Gd enhanced cerebral blood volume map(s). The machine learning procedure can be a convolutional neural network. The MRI information can include (i) a low-dosage Gd MRI scan(s), and/or (ii) a Gd-free MRI scan(s). Functional disorder(s) or age progression can include a neurodegenerative disease, a neuropsychiatric disease, a neurodevelopment disorder or aging.
    Type: Grant
    Filed: June 15, 2021
    Date of Patent: December 31, 2024
    Assignee: THE TRUSTEES OF COLUMBIA UNIVERSITY IN THE CITY OF NEW YORK
    Inventors: Jia Guo, Scott A. Small
  • Patent number: 12100121
    Abstract: An exemplary system, method, and computer-accessible medium for detection of structural disorder(s) of patient(s) can be provided which can include, for example, receiving magnetic resonance imaging (MRI) information of the portion(s), generating gadolinium (“Gd”) enhanced map(s) based on the MRI information using a machine learning procedure(s), and detecting the structural disorder(s) of the patient(s) based on a GD contrast of the Gd enhanced map(s). The Gd enhanced map(s) can be a full dosage Gd enhanced map. The machine learning procedure can be a convolutional neural network. The MRI information can include (i) a low-dosage Gd MRI scan(s), or (ii) a Gd-free MRI scan(s). The Gd contrast can be generated in the Gd enhanced map(s) using a T2-weighted MRI image of the portion(s). Structural disorder(s) can include Stroke, tumor, trauma, infection, Multiple sclerosis and/or other inflammatory disease.
    Type: Grant
    Filed: June 15, 2021
    Date of Patent: September 24, 2024
    Assignee: THE TRUSTEES OF COLUMBIA UNIVERSITY IN THE CITY OF NEW YORK
    Inventors: Jia Guo, Scott A. Small
  • Publication number: 20240201296
    Abstract: Methods for performing frequency and phase correction of magnetic resonance spectroscopy (MRS) data in quantifying one or more metabolites involved in the pathology of schizophrenia and related disorders.
    Type: Application
    Filed: October 5, 2023
    Publication date: June 20, 2024
    Applicants: The Trustees of Columbia University in the City of New York, The Research Foundation for Mental Hygiene, Inc.
    Inventors: Scott A. SMALL, Jia GUO
  • Publication number: 20230393151
    Abstract: The present disclosure relates to methods and compositions for elevating and stabilizing retromer protein for treating and/or preventing neurodegenerative diseases and disorders including Alzheimer's disease and Parkinson's disease, where retromer dysfunction and/or endosomal trafficking dysfunction is involved and/or implicated in the disease or disorder. The methods include the use of agents to elevate and stabilize specific retromer depending upon the neurodegenerative disease or disorder being treated. The method can also include the use of one or more biomarkers to detect and/or identify whether retromer dysfunction and/or endosomal trafficking dysfunction is involved and/or implicated in the disease or disorder.
    Type: Application
    Filed: July 20, 2021
    Publication date: December 7, 2023
    Applicant: The Trustees of Columbia University in the City of New York
    Inventors: Scott A. SMALL, Sabrina ALVES SIMOES SPASSOV, Yasir QURESHI
  • Publication number: 20230104357
    Abstract: The present disclosure relates to methods and compositions for elevating and stabilizing retromer for treating and/or preventing Alzheimer's disease and other neurodegenerative diseases or disorders. Additionally, the disclosure relates to gene therapy combined with a pharmacological retromer chaperone therapy for treating and/or preventing Alzheimer's disease (AD), and other neurodegenerative diseases or disorders such as Parkinson's Disease (PD), amyotrophic lateral sclerosis (ALS), neuronal ceroid lipofuscinosis (NCL), and transmissible spongiform encephalopathies (TSEs or prion disease), multiple system atrophy (MSA), as well as tauopathies such as progressive supranuclear palsy (PSP), frontotemporal lobar dementia linked to chromosome 17q21-22 and its subtypes (FTLD-17/FTLD-Tau), and chronic traumatic encephalopathy (CTE).
    Type: Application
    Filed: August 14, 2022
    Publication date: April 6, 2023
    Applicants: The Trustees of Columbia University in the City of New York, THE RESEARCH FOUNDATION FOR MENTAL HYGIENE, INC.
    Inventors: Scott A. Small, Gregory A. Petsko
  • Publication number: 20230021959
    Abstract: The present disclosure relates to methods and compositions for elevating and stabilizing retromer for treating and/or preventing Alzheimer's disease and other neurodegenerative disorders. Additionally, the disclosure relates to adenoviral based therapy for treating Alzheimer's disease (AD), and other neurodegenerative conditions such as Parkinson's Disease (PD), neuronal ceroid lipofuscinosis (NCL), and transmissible spongiform encephalopathies (TSEs or prion disease), multiple system atrophy (MSA), Down's syndrome, and hereditary spastic paraplegia, as well as tauopathies such as progressive supranuclear palsy (PSP), frontotemporal lobar dementia linked to chromosome 17q21-22 and its subtypes (FTLD-17/FTLD-Tau), Lewy Body Disease (LBD), amyotrophic lateral sclerosis (ALS), frontal-temporal degeneration (FTD), ALS-FTD, and chronic traumatic encephalopathy (CTE).
    Type: Application
    Filed: December 7, 2020
    Publication date: January 26, 2023
    Applicants: The Trustees of Columbia University in the City of New York, Cornell University, Meiragtx UK II Limited
    Inventors: Scott A. SMALL, Gregory PETSKO, Rebecca COX, Samuel D. WAKSAL, Alexandria FORBES, Yasir H. QURESHI
  • Publication number: 20220051801
    Abstract: A method for classifying neurological disease status is described. The method includes acquiring, by a data preprocessor logic, patient image data. The method further includes generating, by a trained artificial neural network (ANN), a classification output based, at least in part, on the patient image data. The classification output corresponds to a neurological disease status of the patient. The trained ANN is trained based, at least in part, on longitudinal source data.
    Type: Application
    Filed: October 29, 2021
    Publication date: February 17, 2022
    Inventors: Xinyang FENG, Frank PROVENZANO, Scott A. SMALL
  • Publication number: 20220044360
    Abstract: An exemplary system, method, and computer-accessible medium for detection of functional disorder(s) or aging progression of patient(s) can be provided which can include, for example, receiving magnetic resonance imaging (MRI) information of the portion(s), generating gadolinium (“Gd”) enhanced map(s) based on the MRI information using a machine learning procedure(s), and detecting the functional disorder(s) or aging progression of the patient(s) based on the Gd enhanced map(s). The Gd enhanced map(s) can be a full dosage Gd enhanced map which can be a full dosage Gd enhanced cerebral blood volume map(s). The machine learning procedure can be a convolutional neural network. The MRI information can include (i) a low-dosage Gd MRI scan(s), and/or (ii) a Gd-free MRI scan(s). Functional disorder(s) or age progression can include a neurodegenerative disease, a neuropsychiatric disease, a neurodevelopment disorder or aging.
    Type: Application
    Filed: June 15, 2021
    Publication date: February 10, 2022
    Inventors: JIA GUO, SCOTT A. SMALL
  • Publication number: 20210383507
    Abstract: An exemplary system, method, and computer-accessible medium for detection of structural disorder(s) of patient(s) can be provided which can include, for example, receiving magnetic resonance imaging (MRI) information of the portion(s), generating gadolinium (“Gd”) enhanced map(s) based on the MRI information using a machine learning procedure(s), and detecting the structural disorder(s) of the patient(s) based on a GD contrast of the Gd enhanced map(s). The Gd enhanced map(s) can be a full dosage Gd enhanced map. The machine learning procedure can be a convolutional neural network. The MRI information can include (i) a low-dosage Gd MRI scan(s), or (ii) a Gd-free MRI scan(s). The Gd contrast can be generated in the Gd enhanced map(s) using a T2-weighted MRI image of the portion(s). Structural disorder(s) can include Stroke, tumor, trauma, infection, Multiple sclerosis and/or other inflammatory disease.
    Type: Application
    Filed: June 15, 2021
    Publication date: December 9, 2021
    Inventors: JIA GUO, SCOTT A. SMALL
  • Publication number: 20210150671
    Abstract: An exemplary system, method, and computer-accessible medium for generating a gadolinium (“Gd”) enhanced map(s) of a portion(s) of a patient(s), can include, for example, receiving magnetic resonance imaging (MRI) information of the portion(s), and generating the Gd enhanced map(s) based on the MRI information using a machine learning procedure(s). The Gd enhanced map(s) can be a full dosage Gd enhanced map. The full dosage Gd enhanced map(s) can be a full dosage Gd enhanced cerebral blood volume map(s). The machine learning procedure can be a convolutional neural network. The MRI information can include (i) a low-dosage Gd MRI scan(s), or (ii) a Gd-free MRI scan(s). A Gd contrast can be generated in the Gd enhanced map(s) using a T2-weighted MRI image of the portion(s).
    Type: Application
    Filed: August 24, 2020
    Publication date: May 20, 2021
    Inventors: JIA GUO, SCOTT A. SMALL
  • Patent number: 10846858
    Abstract: A technology which enables identifying, via a computer, a vessel in a third image. The third image is obtained from a subtraction of a second image from a first image. The second image and the first image are aligned within an imaging space. The first image is post-contrast. The second image is pre-contrast. The technology enables determining, via the computer, a voxel intensity mean value of a segment of the vessel in the third image. The technology enables obtaining, via the computer, a fourth image from a division of the third image by the voxel intensity mean value. The technology enables applying, via the computer, a filter onto the fourth image. The technology enables generating, via the computer, a filter mask based on the fourth image.
    Type: Grant
    Filed: February 4, 2019
    Date of Patent: November 24, 2020
    Assignee: The Trustees of Columbia University in the City of New York
    Inventors: Scott A. Small, Frank A. Provenzano, Usman A. Khan
  • Publication number: 20190378275
    Abstract: A technology which enables identifying, via a computer, a vessel in a third image. The third image is obtained from a subtraction of a second image from a first image. The second image and the first image are aligned within an imaging space. The first image is post-contrast. The second image is pre-contrast. The technology enables determining, via the computer, a voxel intensity mean value of a segment of the vessel in the third image. The technology enables obtaining, via the computer, a fourth image from a division of the third image by the voxel intensity mean value. The technology enables applying, via the computer, a filter onto the fourth image. The technology enables generating, via the computer, a filter mask based on the fourth image.
    Type: Application
    Filed: February 4, 2019
    Publication date: December 12, 2019
    Inventors: Scott A. Small, Frank A. Provenzano, Usman A. Khan
  • Patent number: 10198817
    Abstract: A technology which enables identifying, via a computer, a vessel in a third image. The third image is obtained from a subtraction of a second image from a first image. The second image and the first image are aligned on an imaging space. The first image is post-contrast. The second image is pre-contrast. The technology enables determining, via the computer, a voxel intensity mean value of a segment of the vessel in the third image. The technology enables obtaining, via the computer, a fourth image from a division of the third image by the voxel intensity mean value. The technology enables applying, via the computer, a filter onto the fourth image. The technology enables generating, via the computer, a filter mask based on the fourth image.
    Type: Grant
    Filed: April 17, 2015
    Date of Patent: February 5, 2019
    Assignee: The Trustees of Columbia University in the City of New York
    Inventors: Scott A. Small, Frank A. Provenzano, Usman A. Khan
  • Publication number: 20180228422
    Abstract: Methods and systems for measuring brain function of a person are disclosed. In some embodiments, the methods include the following: providing a database including digital image files that define intersecting sinusoidal functions; conducting matching trials including displaying a first image selected from the digital image files for a first amount of time, displaying no images for a second amount of time, and displaying both the first image and a second image, prompting the person to identify the first image, recording whether the person correctly identified the first image, and recording an amount of time to complete the matching trial; and conducting recognition trials including displaying an image selected from the digital image files, prompting the person to identify whether the image was displayed in the matching trials, recording whether the person correctly identified whether the image was displayed, and recording an amount of time to complete the recognition trial.
    Type: Application
    Filed: September 15, 2015
    Publication date: August 16, 2018
    Applicant: THE TRUSTEES OF COLUMBIA UNIVERSITY IN THE CITY OF NEW YORK
    Inventors: Adam M. BRICKMAN, Scott A. SMALL, Lok-Kin YEUNG
  • Publication number: 20170039714
    Abstract: A technology which enables identifying, via a computer, a vessel in a third image. The third image is obtained from a subtraction of a second image from a first image. The second image and the first image are aligned on an imaging space. The first image is post-contrast. The second image is pre-contrast. The technology enables determining, via the computer, a voxel intensity mean value of a segment of the vessel in the third image. The technology enables obtaining, via the computer, a fourth image from a division of the third image by the voxel intensity mean value. The technology enables applying, via the computer, a filter onto the fourth image. The technology enables generating, via the computer, a filter mask based on the fourth image.
    Type: Application
    Filed: April 17, 2015
    Publication date: February 9, 2017
    Applicant: The Trustees of Columbia University in the City of New York
    Inventors: Scott A. Small, Frank A. Provenzano, Usman A. Khan
  • Patent number: 9387263
    Abstract: Described is a transgenic mouse with two transgenes, each of which transgene comprises a DNA sequence encoding a dominant negative form of RbAp48 protein, wherein the expression of the dominant negative form of RbAp48 is spatially restricted to the forebrain by a CaM Kinase IIa promoter and wherein the expression of the dominant negative form of RbAp48 is controlled by tetracycline-controlled transcriptional activation. Also provided are methods for evaluating in the transgenic mouse the potential therapeutic effect of an agent for slowing, inhibiting or preventing age-related memory decline in a mammalian subject.
    Type: Grant
    Filed: August 2, 2012
    Date of Patent: July 12, 2016
    Assignee: THE TRUSTEES OF COLUMBIA UNIVERSITY IN THE CITY OF NEW YORK
    Inventors: Scott A. Small, Ilias Pavlopoulos, Eric R. Kandel
  • Publication number: 20150361063
    Abstract: The present invention provides pharmaceutical compositions and related methods for stabilizing retromer in cells.
    Type: Application
    Filed: August 21, 2015
    Publication date: December 17, 2015
    Inventors: Dagmar Ringe, Gregory A. Petsko, Scott A. Small, Vincent Mecozzi
  • Publication number: 20140294798
    Abstract: Described is a transgenic mouse with two transgenes, each of which transgene comprises a DNA sequence encoding a dominant negative form of RbAp48 protein, wherein the expression of the dominant negative form of RbAp48 is spatially restricted to the forebrain by a CaM Kinase IIa promoter and wherein the expression of the dominant negative form of RbAp48 is controlled by tetracycline-controlled transcriptional activation. Also provided are methods for evaluating in the transgenic mouse the potential therapeutic effect of an agent for slowing, inhibiting or preventing age-related memory decline in a mammalian subject.
    Type: Application
    Filed: August 2, 2012
    Publication date: October 2, 2014
    Applicant: THE TRUSTEES OF COLUMBIA UNIVERSITY IN THE CITY OF NEW YORK
    Inventors: Scott A. Small, Ilias Pavlopoulos, Eric R. Kandel
  • Publication number: 20140288145
    Abstract: The present invention provides pharmaceutical compositions and related methods for stabilizing retromer in cells.
    Type: Application
    Filed: December 4, 2012
    Publication date: September 25, 2014
    Applicant: Brandeis University
    Inventors: Dagmar Ringe, Gregory A. Petsko, Scott A. Small, Vincent Mecozzi
  • Publication number: 20120129939
    Abstract: Disclosed herein are methods for treating a disease involving ?-synucleic aggregation using (1) a compound which reduces the amount of polyamines in an amount effective to reduce ?-synucleic aggregation; (2) a compound which inhibits polyamine synthesis in an amount effective to reduce ?-synucleic aggregation; or (3) a compound which inhibits ?-synucleic aggregation in an amount effective to reduce ?-synucleic aggregation. Also disclosed are methods for reducing the amount of ?-synucleic aggregation in a brain cell using (1) a compound which reduces the amount of polyamines in an amount effective to reduce ?-synucleic aggregation; (2) a compound which inhibits polyamine synthesis in an amount effective to reduce ?-synucleic aggregation; or (3) a compound which inhibits ?-synucleic aggregation in an amount effective to reduce ?-synucleic aggregation. Disclosed herein are also compounds which can be used in the above described methods.
    Type: Application
    Filed: March 1, 2010
    Publication date: May 24, 2012
    Inventors: Scott A. Small, Nicole Lewandowski, Donald W. Landry, Shi-Xiang Deng