Patents by Inventor K. David Becker

K. David Becker 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).

  • METHOD AND SYSTEM TO PREDICT RESPONSE TO TREATMENTS FOR MENTAL DISORDERS
    Publication number: 20170253928
    Abstract: The present inventions relates to methods and assays to predict the response of an individual to psychiatric treatment and to a method to improve medical treatment of a disorder, which responsive to treatment with a psychiatric treatment.
    Type: Application
    Filed: March 6, 2017
    Publication date: September 7, 2017
    Inventors: Guangdan Zhu, Cindy Wang, Tanya Moreno, Andrew Hellman, Alok Tomar, Svetlana Ivanova Gramatikova, Aditi Chawla, Russell Kuo-fu Chan, Andria Del Tredici, Adrian Vilalta, K. David Becker, Michael Nova
  • METHOD AND SYSTEM TO PREDICT RESPONSE TO PAIN TREATMENTS
    Publication number: 20170247760
    Abstract: The present inventions relates to methods and assays to predict the response of an individual to an analgesic treatment and to a method to improve medical treatment of a disorder, which is responsive to treatment with an analgesic.
    Type: Application
    Filed: March 16, 2017
    Publication date: August 31, 2017
    Inventors: Andria Del Tredici, Russell Kuo-fu Chan, Guangdan Zhu, K. David Becker, Tanya Moreno
  • METHOD AND SYSTEM TO PREDICT SSRI RESPONSE
    Publication number: 20170233810
    Abstract: The present inventions relates to methods and assays to predict the response of an individual to an SSRI treatment and to a method to improve medical treatment of a disorder, which is responsive to treatment with a selective serotonin reuptake inhibitor (SSRI).
    Type: Application
    Filed: October 19, 2016
    Publication date: August 17, 2017
    Inventors: Cindy Wang, Tanya Moreno, K. David Becker
  • METHOD AND SYSTEM TO PREDICT RESPONSE TO TREATMENTS FOR MENTAL DISORDERS
    Publication number: 20170051350
    Abstract: The present inventions relates to methods and assays to predict the response of an individual to a psychiatric treatment and to a method to improve medical treatment of a disorder, which is responsive to treatment with a psychiatric treatment.
    Type: Application
    Filed: April 29, 2016
    Publication date: February 23, 2017
    Inventors: Guangdan Zhu, Cindy Wang, Tanya Moreno, Andrew Hellman, Alok Tomar, Svetlana Ivanova Gramatikova, Aditi Chawla, Russell Kuo-fu Chan, Adriana Del Tredici, Adrian Vilalta, K. David Becker, Michael Nova
  • METHOD AND SYSTEM TO PREDICT RESPONSE TO PAIN TREATMENTS
    Publication number: 20170051349
    Abstract: The present inventions relates to methods and assays to predict the response of an individual to an analgesic treatment and to a method to improve medical treatment of a disorder, which is responsive to treatment with an analgesic.
    Type: Application
    Filed: April 29, 2016
    Publication date: February 23, 2017
    Inventors: Andria Del Tredici, Russell Kuo-fu Chan, Guangdan Zhu, K. David Becker, Tanya Moreno
  • METHOD AND SYSTEM TO PREDICT SSRI RESPONSE
    Publication number: 20160090625
    Abstract: The present inventions relates to methods and assays to predict the response of an individual to an SSRI treatment and to a method to improve medical treatment of a disorder, which is responsive to treatment with a selective serotonin reuptake inhibitor (SSRI).
    Type: Application
    Filed: March 13, 2014
    Publication date: March 31, 2016
    Inventors: Cindy Wang, Tanya Moreno, K. David Becker
  • METHOD AND SYSTEM TO PREDICT RESPONSE TO PAIN TREATMENTS
    Publication number: 20150376703
    Abstract: The present invention relates to systems and methods for predicting an individuals likely response to a pain medication comprising genotyping genetic variations in an individual to determine the individual's propensity for metabolizing a pain medication and likely response to a medication, and preferably diverse reactions to a medication. In particular, the invention comprises analyzing a biological sample provided by an individual, typically a patient or an individual diagnosed with a particular disorder, determining the individual's likely response to a particular treatment, more specifically a pain medication, and thereafter displaying, or further, recommending a plan of action or inaction. In particular, the present invention provides a grading method and system to profile an individual's response to one or more pain medication.
    Type: Application
    Filed: March 12, 2014
    Publication date: December 31, 2015
    Inventors: Andria Del Tredici, Russell Kuo-fu Chan, Guangdan Zhu, K. David Becker, Tanya Moreno
  • METHOD AND SYSTEM TO PREDICT RESPONSE TO TREATMENTS FOR MENTAL DISORDERS
    Publication number: 20150292014
    Abstract: The present inventions relates to methods and assays to predict the response of an individual to psychiatric treatment and to a method to improve medical treatment of a disorder, which responsive to treatment with a psychiatric treatment.
    Type: Application
    Filed: March 12, 2014
    Publication date: October 15, 2015
    Applicant: Pathway Genomics Corporation
    Inventors: Guangdan Zhu, Cindy Wang, Tanya Moreno, Andrew Hellman, Alok Tomar, Svetlana Ivanova Gramatikova, Aditi Chawla, Russell Kuo-fu Chan, Andria Del Tredici, Adrian Vilalta, K. David Becker, Michael Nova
  • METHOD AND SYSTEM TO PREDICT RESPONSE TO PAIN TREATMENTS
    Publication number: 20140274763
    Abstract: The present inventions relates to methods and assays to predict the response of an individual to an analgesic treatment and to a method to improve medical treatment of a disorder, which is responsive to treatment with an analgesic.
    Type: Application
    Filed: June 13, 2013
    Publication date: September 18, 2014
    Inventors: Andria Del Tredici, Russell Kuo-fu Chan, Guangdan Zhu, K. David Becker
  • METHOD AND SYSTEM TO PREDICT RESPONSE TO TREATMENTS FOR MENTAL DISORDERS
    Publication number: 20140274764
    Abstract: The present inventions relates to methods and assays to predict the response of an individual to a psychiatric treatment and to a method to improve medical treatment of a disorder, which is responsive to treatment with a psychiatric treatment.
    Type: Application
    Filed: June 13, 2013
    Publication date: September 18, 2014
    Inventors: Guangdan Zhu, Michael McCarthy, John Kelsoe, Cindy Wang, Tanya Moreno, Andrew Hellman, Alok Tomar, Svetlana Ivanova Gramatikova, Aditi Chawla, Russell Kuo-fu Chan, Andria Del Tredici, Adrian Vilalta, K. David Becker
  • METHOD AND SYSTEM TO PREDICT SSRI RESPONSE
    Publication number: 20140272950
    Abstract: The present inventions relates to methods and assays to predict the response of an individual to an SSRI treatment and to a method to improve medical treatment of a disorder, which is responsive to treatment with a selective serotonin reuptake inhibitor (SSRI).
    Type: Application
    Filed: June 13, 2013
    Publication date: September 18, 2014
    Applicant: Pathway Genomics Corporation
    Inventors: Cindy Wang, Tanya Moreno, K. David Becker
  • Modulation of mitochondrial mass and function for the treatment of diseases and for target and drug discovery
    Publication number: 20020049176
    Abstract: Compositions and methods are provided for the treatment of diseases associated with altered mitochondrial function, and in particular, for type 2 diabetes mellitus. Administration of an agent that increases mitochondrial mass, including promotion of mitochondrial biogenesis by induction of a PGC gene (e.g., PGC-1) and/or a nuclear regulatory factor gene (e.g., NRF-1), is also disclosed. Screening assays for agents that regulate such genes involved in mitochondrial biogenesis, and for genes and gene products that are regulated by such genes involved in mitochondrial biogenesis, are also provided.
    Type: Application
    Filed: February 27, 2001
    Publication date: April 25, 2002
    Inventors: Christen M. Anderson, William Clevenger, K. David Becker, Kathryn Grako