Patents by Inventor Margaret Mitchell

Margaret Mitchell 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: 20220396556
    Abstract: The present invention relates to lipids and compositions thereof. In various aspects of the invention, the compositions are lipid nanoparticle compositions used to deliver various nucleic acid molecules and/or therapeutic agents to selected targets, such as cells for gene delivery, and/or to prevent or treat diseases or disorders in a subject in need thereof.
    Type: Application
    Filed: October 19, 2020
    Publication date: December 15, 2022
    Inventors: Michael Mitchell, Margaret Billingsley
  • Publication number: 20220378700
    Abstract: The present invention relates to lipid nanoparticles (LNP) or compositions thereof for delivery of mRNA molecules encoding CAR, nucleic acid molecule, and/or therapeutic agents to selected targets, such as cells. Thus, in various aspects, the present invention also provides methods of preventing or treating diseases or disorders in a subject in need thereof using the said LNPs or compositions thereof.
    Type: Application
    Filed: October 19, 2020
    Publication date: December 1, 2022
    Inventors: Michael Mitchell, Margaret Billingsley, Nathan Singh, Carl H. June
  • Patent number: 10889852
    Abstract: Provided herein are methods for identifying sites and regions within a gene or genome that are amenable to analysis of methylation. The methods disclosed herein allow the efficient identification on a genome-wide scale of target restriction sites and fragments that provide targets for subsequent analysis.
    Type: Grant
    Filed: October 20, 2015
    Date of Patent: January 12, 2021
    Assignee: Commonwealth Scientific and Industrial Research Organisation
    Inventors: Peter Molloy, Susan Margaret Mitchell, Konsta Duesing
  • Publication number: 20200172963
    Abstract: The present invention relates generally to nucleic acid molecules in respect of which changes to DNA methylation levels are indicative of the onset or predisposition to the onset of a neoplasm. More particularly, the present invention is directed to nucleic acid molecules in respect of which changes to DNA methylation levels are indicative of the onset and/or progression of a large intestine or breast neoplasm, such as an adenoma or adenocarcinoma. The DNA methylation status of the present invention is useful in a range of applications including, but not limited to, those relating to the diagnosis and/or monitoring of colorectal or breast neoplasms, such as colorectal or breast adenocarcinomas. Accordingly, in a related aspect the present invention is directed to a method of screening for the onset, predisposition to the onset and/or progression of a neoplasm by screening for modulation in DNA methylation of one or more nucleic acid molecules.
    Type: Application
    Filed: November 14, 2019
    Publication date: June 4, 2020
    Inventors: Peter Laurence Molloy, Lawrence Charles Lapointe, Susanne Kartin Pedersen, Susan Margaret Mitchell
  • Patent number: 10650804
    Abstract: A “Facet Recommender” creates conversational recommendations for facets of particular conversational topics, and optionally for things associated with those facets, from consumer reviews or other social media content. The Facet Recommender applies a machine-learned facet model and optional sentiment-model, to identify facets associated with spans or segments of the content and to determine neutral, positive, or negative consumer sentiment associated with those facets and, optionally, things associated with those facets. These facets are selected by the facet model from a list or set of manually defined or machine-learned facets for particular conversational topic types. The Facet Recommender then generates new conversational utterances (i.e., short neutral, positive or negative suggestions) about particular facets based on the sentiments associated with those facets. In various implementations, utterances are fit to one or more predefined conversational frameworks.
    Type: Grant
    Filed: May 14, 2018
    Date of Patent: May 12, 2020
    Assignee: MICROSOFT TECHNOLOGY LICENSING, LLC
    Inventors: Bill Dolan, Margaret Mitchell, Jay Banerjee, Pallavi Choudhury, Susan Hendrich, Rebecca Mason, Ron Owens, Mouni Reddy, Yaxiao Song, Kristina Toutanova, Liang Xu, Xuetao Yin
  • Patent number: 10526642
    Abstract: The present invention relates generally to nucleic acid molecules in respect of which changes to DNA methylation levels are indicative of the onset or predisposition to the onset of a neoplasm. More particularly, the present invention is directed to nucleic acid molecules in respect of which changes to DNA methylation levels are indicative of the onset and/or progression of a large intestine or breast neoplasm, such as an adenoma or adenocarcinoma. The DNA methylation status of the present invention is useful in a range of applications including, but not limited to, those relating to the diagnosis and/or monitoring of colorectal or breast neoplasms, such as colorectal or breast adenocarcinomas. Accordingly, in a related aspect the present invention is directed to a method of screening for the onset, predisposition to the onset and/or progression of a neoplasm by screening for modulation in DNA methylation of one or more nucleic acid molecules.
    Type: Grant
    Filed: August 24, 2012
    Date of Patent: January 7, 2020
    Assignees: Commonwealth Scientific and Industrial Research Organisation, Clinical Genomics Pty. Ltd.
    Inventors: Peter Laurence Molloy, Lawrence Charles Lapointe, Susanne Kartin Pedersen, Susan Margaret Mitchell
  • Publication number: 20180261211
    Abstract: A “Facet Recommender” creates conversational recommendations for facets of particular conversational topics, and optionally for things associated with those facets, from consumer reviews or other social media content. The Facet Recommender applies a machine-learned facet model and optional sentiment-model, to identify facets associated with spans or segments of the content and to determine neutral, positive, or negative consumer sentiment associated with those facets and, optionally, things associated with those facets. These facets are selected by the facet model from a list or set of manually defined or machine-learned facets for particular conversational topic types. The Facet Recommender then generates new conversational utterances (i.e., short neutral, positive or negative suggestions) about particular facets based on the sentiments associated with those facets. In various implementations, utterances are fit to one or more predefined conversational frameworks.
    Type: Application
    Filed: May 14, 2018
    Publication date: September 13, 2018
    Applicant: Microsoft Technology Licensing, LLC
    Inventors: Bill Dolan, Margaret Mitchell, Jay Banerjee, Pallavi Choudhury, Susan Hendrich, Rebecca Mason, Ron Owens, Mouni Reddy, Yaxiao Song, Kristina Toutanova, Liang Xu, Xuetao Yin
  • Patent number: 9978362
    Abstract: A “Facet Recommender” creates conversational recommendations for facets of particular conversational topics, and optionally for things associated with those facets, from consumer reviews or other social media content. The Facet Recommender applies a machine-learned facet model and optional sentiment-model, to identify facets associated with spans or segments of the content and to determine neutral, positive, or negative consumer sentiment associated with those facets and, optionally, things associated with those facets. These facets are selected by the facet model from a list or set of manually defined or machine-learned facets for particular conversational topic types. The Facet Recommender then generates new conversational utterances (i.e., short neutral, positive or negative suggestions) about particular facets based on the sentiments associated with those facets. In various implementations, utterances are fit to one or more predefined conversational frameworks.
    Type: Grant
    Filed: September 2, 2014
    Date of Patent: May 22, 2018
    Assignee: Microsoft Technology Licensing, LLC
    Inventors: Bill Dolan, Margaret Mitchell, Jay Banerjee, Pallavi Choudhury, Susan Hendrich, Rebecca Mason, Ron Owens, Mouni Reddy, Yaxiao Song, Kristina Toutanova, Liang Xu, Xuetao Yin
  • Patent number: 9836671
    Abstract: Disclosed herein are technologies directed to discovering semantic similarities between images and text, which can include performing image search using a textual query, performing text search using an image as a query, and/or generating captions for images using a caption generator. A semantic similarity framework can include a caption generator and can be based on a deep multimodal similar model. The deep multimodal similarity model can receive sentences and determine the relevancy of the sentences based on similarity of text vectors generated for one or more sentences to an image vector generated for an image. The text vectors and the image vector can be mapped in a semantic space, and their relevance can be determined based at least in part on the mapping. The sentence associated with the text vector determined to be the most relevant can be output as a caption for the image.
    Type: Grant
    Filed: August 28, 2015
    Date of Patent: December 5, 2017
    Assignee: Microsoft Technology Licensing, LLC
    Inventors: Jianfeng Gao, Xiaodong He, Saurabh Gupta, Geoffrey G. Zweig, Forrest Iandola, Li Deng, Hao Fang, Margaret A. Mitchell, John C. Platt, Rupesh Kumar Srivastava
  • Publication number: 20170061250
    Abstract: Disclosed herein are technologies directed to discovering semantic similarities between images and text, which can include performing image search using a textual query, performing text search using an image as a query, and/or generating captions for images using a caption generator. A semantic similarity framework can include a caption generator and can be based on a deep multimodal similar model. The deep multimodal similarity model can receive sentences and determine the relevancy of the sentences based on similarity of text vectors generated for one or more sentences to an image vector generated for an image. The text vectors and the image vector can be mapped in a semantic space, and their relevance can be determined based at least in part on the mapping. The sentence associated with the text vector determined to be the most relevant can be output as a caption for the image.
    Type: Application
    Filed: August 28, 2015
    Publication date: March 2, 2017
    Inventors: Jianfeng Gao, Xiaodong He, Saurabh Gupta, Geoffrey G. Zweig, Forrest Iandola, Li Deng, Hao Fang, Margaret A. Mitchell, John C. Platt, Rupesh Kumar Srivastava
  • Publication number: 20160063874
    Abstract: A digital personal assistant is described that determines a mental or emotional state of a user based on one or more signals and, based on the determined mental or emotional state, provides the user with feedback concerning an item of content generated thereby or an activity to be conducted thereby. An API is described that can be used by diverse applications and/or services to communicate with the digital personal assistant for the purpose of obtaining information about the current mental or emotional state of the user. Content tagging logic is described that identifies one or more items of content generated or interacted with by the user and stores metadata in association with the identified item(s) of content. The metadata includes information indicative of the current mental or emotional state of the user during the time period when the user generated or interacted with the content.
    Type: Application
    Filed: August 28, 2014
    Publication date: March 3, 2016
    Inventors: Mary P. Czerwinski, Melissa N. Lim, Ran Gilad-Bachrach, Ivan Tashev, Margaret Mitchell, MariaElaina Martinelli, William B. Dolan
  • Publication number: 20160063993
    Abstract: A “Facet Recommender” creates conversational recommendations for facets of particular conversational topics, and optionally for things associated with those facets, from consumer reviews or other social media content. The Facet Recommender applies a machine-learned facet model and optional sentiment-model, to identify facets associated with spans or segments of the content and to determine neutral, positive, or negative consumer sentiment associated with those facets and, optionally, things associated with those facets. These facets are selected by the facet model from a list or set of manually defined or machine-learned facets for particular conversational topic types. The Facet Recommender then generates new conversational utterances (i.e., short neutral, positive or negative suggestions) about particular facets based on the sentiments associated with those facets. In various implementations, utterances are fit to one or more predefined conversational frameworks.
    Type: Application
    Filed: September 2, 2014
    Publication date: March 3, 2016
    Inventors: Bill Dolan, Margaret Mitchell, Jay Banerjee, Pallavi Choudhury, Susan Hendrich, Rebecca Mason, Ron Owens, Mouni Reddy, Yaxiao Song, Kristina Toutanova, Liang Xu, Xuetao Yin
  • Publication number: 20140315203
    Abstract: The present invention relates generally to nucleic acid molecules in respect of which changes to DNA methylation levels are indicative of the onset or predisposition to the onset of a neoplasm. More particularly, the present invention is directed to nucleic acid molecules in respect of which changes to DNA methylation levels are indicative of the onset and/or progression of a large intestine or breast neoplasm, such as an adenoma or adenocarcinoma. The DNA methylation status of the present invention is useful in a range of applications including, but not limited to, those relating to the diagnosis and/or monitoring of colorectal or breast neoplasms, such as colorectal or breast adenocarcinomas. Accordingly, in a related aspect the present invention is directed to a method of screening for the onset, predisposition to the onset and/or progression of a neoplasm by screening for modulation in DNA methylation of one or more nucleic acid molecules.
    Type: Application
    Filed: August 24, 2012
    Publication date: October 23, 2014
    Applicants: Commonwealth Scientific and Industrial Research Organisation, Clinical Genomics Pty. Ltd.
    Inventors: Peter Laurence Molloy, Lawrence Charles Lapointe, Susanne Kartin Pedersen, Susan Margaret Mitchell
  • Publication number: 20130338020
    Abstract: The present invention relates generally to nucleic acid molecules in respect of which changes to DNA methylation levels are indicative of the onset or predisposition to the onset of a neoplasm. More particularly, the present invention is directed to nucleic acid molecules in respect of which changes to DNA methylation levels are indicative of the onset and/or progression of a large intestine neoplasm, such as an adenoma or adenocarcinoma. The DNA methylation status of the present invention is useful in a range of applications including, but not limited to, those relating to the diagnosis and/or monitoring of colorectal neoplasms, such as colorectal adenocarcinomas. Accordingly, in a related aspect the present invention is directed to a method of screening for the onset, predisposition to the onset and/or progression of a neoplasm by screening for modulation in DNA methylation of one or more nucleic acid molecules.
    Type: Application
    Filed: September 13, 2011
    Publication date: December 19, 2013
    Applicants: COMMONWEALTH SCIENTIFIC AND INDUSTRIAL RESEARCH ORGANISATION, CLINICAL GENOMICS PTY. LTD.
    Inventors: Jason Peter Ross, Michael Buckley, Peter Laurence Molloy, Susan Margaret Mitchell, Konsta Rainer Duesing, Zheng-Zhou Xu
  • Publication number: 20060229608
    Abstract: A spinal implant provides support for desired parts of the spine. The implant can provide support in both fusion and non-fusion situations. The spinal implant includes an implant rod and fasteners for coupling or fastening the implant rod to the affected regions of the spine via the pedicles of the affected vertebrae). The implant rod includes a flexible portion and rigid end portions. The fasteners couple the end portions of the rod to the pedicles in the affected level. The flexible portion can take a variety of shapes, such as non-helical, multi-curve springs. One may combine several implant rods to provide an overall implant for more than one level of the spine. The implant can allow desired motion while tending to limit undesirable motion, thus protecting areas of the diseased or injured spine, such as the nucleus pulposus or anulus fibrosis. Furthermore, the implant can provide a combination of rigid and flexible support, as desired.
    Type: Application
    Filed: March 17, 2005
    Publication date: October 12, 2006
    Inventors: Thomas Foster, David Hooper, Margaret Mitchell, David Krueger
  • Publication number: 20050251257
    Abstract: A spinal implant is provided which maintains intervertebral spacing and stability within the spine. The spinal implant may include a body and an insert. The body of the spinal implant may be formed of a ceramic material. In some embodiments, the body may be formed of beta tricalcium phosphate. The body may include an opening that is complementary to the insert. The insert may fit within the opening. The insert may include a number of passageways. Some of the passageways may intersect to form a scaffold for bone growth. Bone growth promoting material may be introduced into the insert before the insert is positioned in a body and inserted in a patient between two vertebrae.
    Type: Application
    Filed: May 4, 2004
    Publication date: November 10, 2005
    Inventors: Margaret Mitchell, Jim Freid
  • Publication number: 20050027360
    Abstract: A spinal implant may be used to stabilize a portion of a spine. The implant may promote bone growth between adjacent vertebrae that fuses the vertebrae together. An implant may include an opening through a height of a body of the implant. The body of the implant may include curved sides. A top and/or a bottom of the implant may include protrusions that contact and/or engage vertebral surfaces to prevent backout of the implant from the disc space. A variety of instruments may be used to prepare a disc space and insert an implant. The instruments may include, but are not limited to, a distractor, a rasp, and one or more guides. The implant and instruments may be supplied in an instrument kit.
    Type: Application
    Filed: August 1, 2003
    Publication date: February 3, 2005
    Inventors: Scott Webb, Anthony Moreno, Margaret Mitchell, Aaron Smith