Patents by Inventor Tracy A. Glauser

Tracy A. Glauser 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: 20190131015
    Abstract: The disclosure provides methods for assessing a neuropsychiatric condition of a human subject by combining the subject's biomarker data and thought marker data into a quantitative assessment of the subject's neuropsychiatric condition.
    Type: Application
    Filed: December 19, 2018
    Publication date: May 2, 2019
    Inventors: John P. Pestian, Tracy A. Glauser, Bruce Aronow
  • Patent number: 10204707
    Abstract: A method for assessing a neuropsychiatric condition (such as, but not limited to, a risk that a subject may attempt to commit suicide or repeat an attempt to commit suicide, a risk that terminally ill patient is not being care-for or treated according to the patient's true wishes, a risk that a subject may perform or repeat a criminal act and/or a harmful act, a risk of the subject having a psychiatric illness, and/or a risk of a subject feigning a psychiatric illness) may include a plurality of steps. A step may include receiving biomarker data associated from an analysis of the subject's biological sample and a step of receiving thought-marker data obtained pertaining to one or more of the subject's recorded thoughts, spoken words, transcribed speech, and writings. A step may include generating a biomarker score associated with the neuropsychiatric condition from the biomarker data.
    Type: Grant
    Filed: April 27, 2010
    Date of Patent: February 12, 2019
    Assignee: Children's Hospital Medical Center
    Inventors: John Pestian, Tracy A. Glauser, Bruce Aronow
  • Publication number: 20190042563
    Abstract: A method for performing natural language processing of free text using domain-specific spreading activation. Embodiments of the present invention ontologize free text using an algorithm based on neurocognitive theory by simulating human recognition, semantic, and episodic memory approaches. Embodiments of the invention may be used to process clinical text for assignment of billing codes, analyze suicide notes or legal discovery materials, and for processing other collections of text. Further, embodiments of the invention may be used to more effectively search large databases, such as a database containing a large number of medical publications.
    Type: Application
    Filed: October 2, 2018
    Publication date: February 7, 2019
    Inventors: John P. Pestian, Pawel Matykiewicz, Wlodzislaw Duch, Tracy A. Glauser, Robert A. Kowatch, Jacqueline M. Grupp-Phelan, Michael Sorter
  • Patent number: 10140288
    Abstract: A method for performing natural language processing of free text using domain-specific spreading activation. Embodiments of the present invention ontologize free text using an algorithm based on neurocognitive theory by simulating human recognition, semantic, and episodic memory approaches. Embodiments of the invention may be used to process clinical text for assignment of billing codes, analyze suicide notes or legal discovery materials, and for processing other collections of text. Further, embodiments of the invention may be used to more effectively search large databases, such as a database containing a large number of medical publications.
    Type: Grant
    Filed: September 29, 2016
    Date of Patent: November 27, 2018
    Assignee: Children's Hospital Medical Center
    Inventors: John P. Pestian, Pawel Matykiewicz, Wlodzislaw Duch, Tracy A. Glauser, Robert A. Kowatch, Jacqueline M. Grupp-Phelan, Michael Sorter
  • Publication number: 20170147779
    Abstract: Described are methods for treating a patient with a therapeutic drug using a combination of genetic and non-genetic information to tailor the dose of the drug to the patient.
    Type: Application
    Filed: December 2, 2016
    Publication date: May 25, 2017
    Inventors: Tracy A. Glauser, Richard J. Wenstrup, Alexander A. Vinks, John Pestian
  • Publication number: 20170039186
    Abstract: A method for performing natural language processing of free text using domain-specific spreading activation. Embodiments of the present invention ontologize free text using an algorithm based on neurocognitive theory by simulating human recognition, semantic, and episodic memory approaches. Embodiments of the invention may be used to process clinical text for assignment of billing codes, analyze suicide notes or legal discovery materials, and for processing other collections of text. Further, embodiments of the invention may be used to more effectively search large databases, such as a database containing a large number of medical publications.
    Type: Application
    Filed: September 29, 2016
    Publication date: February 9, 2017
    Inventors: John P. Pestian, Pawel Matykiewicz, Wlodzislaw Duch, Tracy A. Glauser, Robert A. Kowatch, Jacqueline M. Grupp-Phelan, Michael Sorter
  • Patent number: 9477655
    Abstract: A method for performing natural language processing of free text using domain-specific spreading activation. Embodiments of the present invention ontologize free text using an algorithm based on neurocognitive theory by simulating human recognition, semantic, and episodic memory approaches. Embodiments of the invention may be used to process clinical text for assignment of billing codes, analyze suicide notes or legal discovery materials, and for processing other collections of text. Further, embodiments of the invention may be used to more effectively search large databases, such as a database containing a large number of medical publications.
    Type: Grant
    Filed: November 25, 2014
    Date of Patent: October 25, 2016
    Assignee: Children's Hospital Medical Center
    Inventors: John P. Pestian, Pawel Matykiewicz, Wlodzislaw Duch, Tracy A. Glauser, Robert A. Kowatch, Jacqueline M. Grupp-Phelan, Michael Sorter
  • Publication number: 20160180041
    Abstract: The present invention relates to computer-based clinical decision support tools including, computer-implemented methods, computer systems, and computer program products for clinical decision support. These tools assist the clinician in identifying epilepsy patients who are candidates for surgery and utilize a combination of natural language processing, corpus linguistics, and machine learning techniques.
    Type: Application
    Filed: July 31, 2014
    Publication date: June 23, 2016
    Inventors: John P. Pestian, Tracy A. Glauser, Pawel Matykiewicz, Katherine D. Holland, Shannon Michelle Standridge, Hansel M. Greiner, Kevin Bretonnel Cohen
  • Publication number: 20150081280
    Abstract: A method for performing natural language processing of free text using domain-specific spreading activation. Embodiments of the present invention ontologize free text using an algorithm based on neurocognitive theory by simulating human recognition, semantic, and episodic memory approaches. Embodiments of the invention may be used to process clinical text for assignment of billing codes, analyze suicide notes or legal discovery materials, and for processing other collections of text. Further, embodiments of the invention may be used to more effectively search large databases, such as a database containing a large number of medical publications.
    Type: Application
    Filed: November 25, 2014
    Publication date: March 19, 2015
    Inventors: John P. Pestian, Pawel Matykiewicz, Wlodzislaw Duch, Tracy A. Glauser, Robert A. Kowatch, Jacqueline M. Grupp-Phelan
  • Patent number: 8930178
    Abstract: A method for performing natural language processing of free text using domain-specific spreading activation. Embodiments of the present invention ontologize free text using an algorithm based on neurocognitive theory by simulating human recognition, semantic, and episodic memory approaches. Embodiments of the invention may be used to process clinical text for assignment of billing codes, analyze suicide notes or legal discovery materials, and for processing other collections of text. Further, embodiments of the invention may be used to more effectively search large databases, such as a database containing a large number of medical publications.
    Type: Grant
    Filed: January 4, 2008
    Date of Patent: January 6, 2015
    Assignee: Children's Hospital Medical Center
    Inventors: John Pestian, Pawel Matykiewicz, Wlodzislaw Duch, Tracy Glauser, Robert A. Kowatch, Jacqueline Grupp-Phelan
  • Publication number: 20150006190
    Abstract: The invention provides systems and methods for producing a ranked list of drugs for administration to a patient in need thereof, the ranked list produced by calculating for each drug a score that is the product of a patient vector, a weighting vector, and the drug's column value in a disease matrix.
    Type: Application
    Filed: October 14, 2013
    Publication date: January 1, 2015
    Inventors: Tracy A. Glauser, Richard J. Wenstrup, Alexander A. Vinks, John Pestian
  • Publication number: 20140046684
    Abstract: The invention provides systems and methods for producing a ranked list of drugs for administration to a patient in need thereof, the ranked list produced by calculating for each drug a score that is the product of a patient vector, a weighting vector, and the drug's column value in a disease matrix.
    Type: Application
    Filed: October 14, 2013
    Publication date: February 13, 2014
    Inventors: Tracy A. Glauser, Richard J. Wenstrup, Alexander A. Vinks, John Pestian
  • Patent number: 8589175
    Abstract: The invention provides population models, methods, and algorithms for targeting a dosing regimen or compound selection to an individual patient. The methods and algorithms of the invention utilize population models that incorporate genotype information for genes encoding drug metabolizing enzymes for one or more compounds of interest. The methods allow integration of genotype information for one or more genes encoding a drug metabolizing enzyme, particularly a cytochrome P450 gene with patient data. The methods allow integration of genotype information and the effect of one or more compounds on one or more drug metabolizing enzymes. The methods allow iterative feedback of drug metabolizing data obtained from a patient into the process of generating a dosage regimen recommendation for a compound of interest for an individual patient.
    Type: Grant
    Filed: November 28, 2006
    Date of Patent: November 19, 2013
    Assignee: Children's Hospital Medical Center
    Inventors: Tracy A. Glauser, Richard J. Wenstrup, Alexander A. Vinks, John Pestian
  • Publication number: 20120041911
    Abstract: A method for assessing a neuropsychiatric condition (such as, but not limited to, a risk that a subject may attempt to commit suicide or repeat an attempt to commit suicide, a risk that terminally ill patient is not being cared-for or treated according to the patient's true wishes, a risk that a subject may perform or repeat a criminal act and/or a harmful act, a risk of the subject having a psychiatric illness, and/or a risk of a subject feigning a psychiatric illness) may include a plurality of steps. A step may include receiving biomarker data associated from an analysis of the subject's biological sample and a step of receiving thought-marker data obtained pertaining to one or more of the subject's recorded thoughts, spoken words, transcribed speech, and writings. A step may include generating a biomarker score associated with the neuropsychiatric condition from the biomarker data.
    Type: Application
    Filed: April 27, 2010
    Publication date: February 16, 2012
    Applicant: CINCINNATI CHILDREN'S HOSPITAL MEDICAL CENTER
    Inventors: John Pestian, Norbert Weidner, Tracy A. Glauser, Jacqueline M. Grupp-Phelan, Franklin O. Smith, Robert A. Kowatch
  • Publication number: 20090171697
    Abstract: The invention provides population models, methods, and algorithms for targeting a dosing regimen or compound selection to an individual patient. The methods and algorithms of the invention utilize population models that incorporate genotype information for genes encoding drug metabolizing enzymes for one or more compounds of interest. The methods allow integration of genotype information for one or more genes encoding a drug metabolizing enzyme, particularly a cytochrome P450 gene with patient data. The methods allow integration of genotype information and the effect of one or more compounds on one or more drug metabolizing enzymes. The methods allow iterative feedback of drug metabolizing data obtained from a patient into the process of generating a dosage regimen recommendation for a compound of interest for an individual patient.
    Type: Application
    Filed: November 28, 2006
    Publication date: July 2, 2009
    Inventors: Tracy A. Glauser, Richard J. Wenstrup, Alexander A. Vinks, John Pestian
  • Publication number: 20080270120
    Abstract: A method for performing natural language processing of free text using domain-specific spreading activation. Embodiments of the present invention ontologize free text using an algorithm based on neurocognitive theory by simulating human recognition, semantic, and episodic memory approaches. Embodiments of the invention may be used to process clinical text for assignment of billing codes, analyze suicide notes or legal discovery materials, and for processing other collections of text. Further, embodiments of the invention may be used to more effectively search large databases, such as a database containing a large number of medical publications.
    Type: Application
    Filed: January 4, 2008
    Publication date: October 30, 2008
    Inventors: John Pestian, Pawel Matykiewicz, Wlodzislaw Duch, Tracy Glauser, Robert A. Kowatch, Jacqueline Grupp-Phelan