Patents by Inventor Lingdao Sha

Lingdao Sha 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: 11935152
    Abstract: A system for identifying biomarkers in a digital image of a Hematoxylin and Eosin-stained slide of a target tissue includes a processor and an electronic network; and a memory having stored thereon computer-executable instructions that, when executed by the one or more processors, cause the computing system to: process segmented tile images determine a predicted biomarker presence; and transmit the predicted presence. A non-transitory computer-readable medium includes a set of computer-executable instructions that, when executed by one or more processors, cause a computer to: process segmented tile images; determine a predicted biomarker presence; and transmit the predicted presence. A computer-implemented method includes processing segmented tile images; determining a predicted biomarker presence; and transmitting the predicted presence.
    Type: Grant
    Filed: March 20, 2023
    Date of Patent: March 19, 2024
    Assignee: TEMPUS LABS, INC.
    Inventors: Stephen Yip, Irvin Ho, Lingdao Sha, Boleslaw Osinski, Aly Azeem Khan, Andrew J. Kruger, Michael Carlson, Abel Greenwald, Caleb Willis
  • Publication number: 20230230195
    Abstract: A system for identifying biomarkers in a digital image of a Hematoxylin and Eosin-stained slide of a target tissue includes a processor and an electronic network; and a memory having stored thereon computer-executable instructions that, when executed by the one or more processors, cause the computing system to: process segmented tile images determine a predicted biomarker presence; and transmit the predicted presence. A non-transitory computer-readable medium includes a set of computer-executable instructions that, when executed by one or more processors, cause a computer to: process segmented tile images; determine a predicted biomarker presence; and transmit the predicted presence. A computer-implemented method includes processing segmented tile images; determining a predicted biomarker presence; and transmitting the predicted presence.
    Type: Application
    Filed: March 20, 2023
    Publication date: July 20, 2023
    Inventors: Stephen Yip, Irvin Ho, Lingdao Sha, Boleslaw Osinski, Aly Azeem Khan, Andrew J. Kruger, Michael Carlson, Abel Greenwald, Caleb Willis
  • Patent number: 11682098
    Abstract: A generalizable and interpretable deep learning model for predicting biomarker status and biomarker metrics from histopathology slide images is provided.
    Type: Grant
    Filed: April 15, 2021
    Date of Patent: June 20, 2023
    Assignee: TEMPUS LABS, INC.
    Inventors: Stephen Yip, Irvin Ho, Lingdao Sha, Boleslaw Osinski
  • Patent number: 11610307
    Abstract: A generalizable and interpretable deep learning model for predicting biomarker status and biomarker metrics from histopathology slide images is provided.
    Type: Grant
    Filed: March 4, 2021
    Date of Patent: March 21, 2023
    Assignee: TEMPUS LABS, INC.
    Inventors: Stephen Yip, Irvin Ho, Lingdao Sha, Boleslaw Osinski, Aly Azeem Khan, Andrew J. Kruger, Michael Carlson, Abel Greenwald, Caleb Willis
  • Publication number: 20220405919
    Abstract: A generalizable and interpretable deep learning model for predicting biomarker status and biomarker metrics from histopathology slide images is provided.
    Type: Application
    Filed: March 1, 2022
    Publication date: December 22, 2022
    Inventors: Stephen Yip, Irvin Ho, Lingdao Sha, Boleslaw Osinski, Aly Azeem Khan, Andrew J. Kruger, Michael Carlson, Abel Greenwald, Caleb Willis
  • Publication number: 20220293218
    Abstract: A method for qualifying a specimen prepared on one or more hematoxylin and eosin (H&E) slides by assessing an expected yield of nucleic acids for tumor cells and providing associated unstained slides for subsequent nucleic acid analysis is provided.
    Type: Application
    Filed: May 31, 2022
    Publication date: September 15, 2022
    Inventors: Stephen Yip, Irvin Ho, Lingdao Sha, Boleslaw Osinski, Aly Azeem Khan, Andrew J. Kruger, Michael Carlson, Abel Greenwald, Caleb Willis, Andrew Westley, Ryan Jones, Brett Mahon
  • Patent number: 11348240
    Abstract: A method for predicting an expected yield of nucleic acid from tumor cells within a dissection boundary on a hematoxylin and eosin (H&E) slide is provided.
    Type: Grant
    Filed: December 31, 2020
    Date of Patent: May 31, 2022
    Assignee: TEMPUS LABS, INC.
    Inventors: Stephen Yip, Irvin Ho, Lingdao Sha, Boleslaw Osinski, Aly Azeem Khan, Andrew J. Kruger, Michael Carlson, Abel Greenwald, Caleb Willis, Andrew Westley, Ryan Jones, Brett Mahon
  • Patent number: 11348239
    Abstract: A method for determining tumor block sufficiency for generating one or more hematoxylin and eosin (H&E) slides by assessing an expected yield of nucleic acids for tumor cells and determining a number of H&E slide for satisfying a desired total nucleic yield is provided.
    Type: Grant
    Filed: December 31, 2020
    Date of Patent: May 31, 2022
    Assignee: TEMPUS LABS, INC.
    Inventors: Stephen Yip, Irvin Ho, Lingdao Sha, Boleslaw Osinski, Aly Azeem Khan, Andrew J. Kruger, Michael Carlson, Abel Greenwald, Caleb Willis, Andrew Westley, Ryan Jones, Brett Mahon
  • Patent number: 11348661
    Abstract: A method for qualifying a specimen prepared on one or more hematoxylin and eosin (H&E) slides by assessing an expected yield of nucleic acids for tumor cells and providing associated unstained slides for subsequent nucleic acid analysis is provided.
    Type: Grant
    Filed: December 31, 2020
    Date of Patent: May 31, 2022
    Assignee: TEMPUS LABS, INC.
    Inventors: Stephen Yip, Irvin Ho, Lingdao Sha, Boleslaw Osinski, Aly Azeem Khan, Andrew J. Kruger, Michael Carlson, Abel Greenwald, Caleb Willis, Andrew Westley, Ryan Jones, Brett Mahon
  • Publication number: 20220101519
    Abstract: A generalizable and interpretable deep learning model for predicting biomarker status and biomarker metrics from histopathology slide images is provided.
    Type: Application
    Filed: April 15, 2021
    Publication date: March 31, 2022
    Inventors: Stephen Yip, Irvin Ho, Lingdao Sha, Boleslaw Osinski
  • Patent number: 11263748
    Abstract: A generalizable and interpretable deep learning model for predicting biomarker status and biomarker metrics from histopathology slide images is provided.
    Type: Grant
    Filed: February 5, 2021
    Date of Patent: March 1, 2022
    Assignee: TEMPUS LABS, INC.
    Inventors: Stephen Yip, Irvin Ho, Lingdao Sha, Boleslaw Osinski, Aly Azeem Khan, Andrew J. Kruger, Michael Carlson, Abel Greenwald, Caleb Willis
  • Publication number: 20210256690
    Abstract: A generalizable and interpretable deep learning model for predicting biomarker status and biomarker metrics from histopathology slide images is provided.
    Type: Application
    Filed: February 5, 2021
    Publication date: August 19, 2021
    Inventors: Stephen Yip, Irvin Ho, Lingdao Sha, Boleslaw Osinski, Aly Azeem Khan, Andrew J. Kruger, Michael Carlson, Abel Greenwald, Caleb Willis
  • Publication number: 20210233238
    Abstract: A generalizable and interpretable deep learning model for predicting biomarker status and biomarker metrics from histopathology slide images is provided.
    Type: Application
    Filed: March 4, 2021
    Publication date: July 29, 2021
    Inventors: Stephen Yip, Irvin Ho, Lingdao Sha, Boleslaw Osinski, Aly Azeem Khan, Andrew J. Kruger, Michael Carlson, Abel Greenwald, Caleb Willis
  • Publication number: 20210166785
    Abstract: A method for qualifying a specimen prepared on one or more hematoxylin and eosin (H&E) slides by assessing an expected yield of nucleic acids for tumor cells and providing associated unstained slides for subsequent nucleic acid analysis is provided.
    Type: Application
    Filed: December 31, 2020
    Publication date: June 3, 2021
    Inventors: Stephen Yip, Irvin Ho, Lingdao Sha, Boleslaw Osinski, Aly Azeem Khan, Andrew J. Kruger, Michael Carlson, Abel Greenwald, Caleb Willis, Andrew Westley, Ryan Jones, Brett Mahon
  • Publication number: 20210166380
    Abstract: A method for determining tumor block sufficiency for generating one or more hematoxylin and eosin (H&E) slides by assessing an expected yield of nucleic acids for tumor cells and determining a number of H&E slide for satisfying a desired total nucleic yield is provided.
    Type: Application
    Filed: December 31, 2020
    Publication date: June 3, 2021
    Inventors: Stephen Yip, Irvin Ho, Lingdao Sha, Boleslaw Osinski, Aly Azeem Khan, Andrew J. Kruger, Michael Carlson, Abel Greenwald, Caleb Willis, Andrew Westley, Ryan Jones, Brett Mahon
  • Publication number: 20210166381
    Abstract: A method for predicting an expected yield of nucleic acid from tumor cells within a dissection boundary on a hematoxylin and eosin (H&E) slide is provided.
    Type: Application
    Filed: December 31, 2020
    Publication date: June 3, 2021
    Inventors: Stephen Yip, Irvin Ho, Lingdao Sha, Boleslaw Osinski, Aly Azeem Khan, Andrew J. Kruger, Michael Carlson, Abel Greenwald, Caleb Willis, Andrew Westley, Ryan Jones, Brett Mahon
  • Patent number: 10991097
    Abstract: Techniques for generating an overlay map on a digital medical image of a slide are provided, and include cell detection and tissue classification processes. Techniques include receiving a medical image, separating the image into tiles, and performing tile classifications and tissue classifications based on a multi-tile analysis. Techniques additionally include identifying cell objects in the image, separating the image into and displaying polygons identifying the cell objects and cell classifications. Generated displays may be overlays over the initial digital image.
    Type: Grant
    Filed: December 31, 2019
    Date of Patent: April 27, 2021
    Assignee: TEMPUS LABS, INC.
    Inventors: Stephen Yip, Irvin Ho, Lingdao Sha, Boleslaw Osinski
  • Patent number: 10957041
    Abstract: A generalizable and interpretable deep learning model for predicting biomarker status and biomarker metrics from histopathology slide images is provided.
    Type: Grant
    Filed: March 25, 2020
    Date of Patent: March 23, 2021
    Assignee: TEMPUS LABS, INC.
    Inventors: Stephen Yip, Irvin Ho, Lingdao Sha, Boleslaw Osinski, Aly Azeem Khan, Andrew J. Kruger, Michael Carlson, Abel Greenwald, Caleb Willis
  • Publication number: 20200258223
    Abstract: A generalizable and interpretable deep learning model for predicting biomarker status and biomarker metrics from histopathology slide images is provided.
    Type: Application
    Filed: March 25, 2020
    Publication date: August 13, 2020
    Inventors: Stephen Yip, Irvin Ho, Lingdao Sha, Boleslaw Osinski, Aly Azeem Khan, Andrew J. Kruger, Michael Carlson, Abel Greenwald, Caleb Willis
  • Publication number: 20200211189
    Abstract: Techniques for generating an overlay map on a digital medical image of a slide are provided, and include cell detection and tissue classification processes. Techniques include receiving a medical image, separating the image into tiles, and performing tile classifications and tissue classifications based on a multi-tile analysis. Techniques additionally include identifying cell objects in the image, separating the image into and displaying polygons identifying the cell objects and cell classifications. Generated displays may be overlays over the initial digital image.
    Type: Application
    Filed: December 31, 2019
    Publication date: July 2, 2020
    Inventors: Stephen Yip, Irvin Ho, Lingdao Sha, Boleslaw Osinski