公开(公告)号：US11481898B2

公开(公告)日：2022-10-25

申请号：US17519106

申请日：2021-11-04

Applicant: PAIGE.AI, Inc.

Inventor： Belma Dogdas ,  Christopher Kanan ,  Thomas Fuchs ,  Leo Grady

IPC: G06T7/00 ,  G16H10/40

Abstract: Systems and methods are disclosed for receiving digital images of a pathology specimen from a patient, the pathology specimen comprising tumor tissue, the one or more digital images being associated with data about a plurality of biomarkers in the tumor tissue and data about a surrounding invasive margin around the tumor tissue; identifying the tumor tissue and the surrounding invasive margin region to be analyzed for each of the one or more digital images; generating, using a machine learning model on the one or more digital images, at least one inference of a presence of the plurality of biomarkers in the tumor tissue and the surrounding invasive margin region; determining a spatial relationship of each of the plurality of biomarkers identified in the tumor tissue and the surrounding invasive margin region to themselves and to other cell types; and determining a prediction for a treatment outcome and/or at least one treatment recommendation for the patient.

公开(公告)号：US11475566B2

公开(公告)日：2022-10-18

申请号：US17410031

申请日：2021-08-24

Applicant: PAIGE.AI, Inc.

Inventor： Christopher Kanan ,  Belma Dogdas ,  Patricia Raciti ,  Matthew Lee ,  Alican Bozkurt ,  Leo Grady ,  Thomas Fuchs ,  Jorge S. Reis-Filho

IPC: G06T7/00 ,  G06T7/11 ,  G16H50/20 ,  G16H30/40 ,  G06V10/46 ,  G06K9/62 ,  G16H10/60 ,  G06N20/00

Abstract: Systems and methods are disclosed for processing digital images to predict at least one continuous value comprising receiving one or more digital medical images, determining whether the one or more digital medical images includes at least one salient region, upon determining that the one or more digital medical images includes the at least one salient region, predicting, by a trained machine learning system, at least one continuous value corresponding to the at least one salient region, and outputting the at least one continuous value to an electronic storage device and/or display.

公开(公告)号：US11430117B2

公开(公告)日：2022-08-30

申请号：US17492745

申请日：2021-10-04

Applicant: PAIGE.AI, Inc.

Inventor： Antoine Sainson ,  Brandon Rothrock ,  Razik Yousfi ,  Patricia Raciti ,  Matthew Hanna ,  Christopher Kanan

IPC: G06T7/00 ,  G06T7/11

Abstract: Systems and methods are disclosed for identifying formerly conjoined pieces of tissue in a specimen, comprising receiving one or more digital images associated with a pathology specimen, identifying a plurality of pieces of tissue by applying an instance segmentation system to the one or more digital images, the instance segmentation system having been generated by processing a plurality of training images, determining, using the instance segmentation system, a prediction of whether any of the plurality of pieces of tissue were formerly conjoined, and outputting at least one instance segmentation to a digital storage device and/or display, the instance segmentation comprising an indication of whether any of the plurality of pieces of tissue were formerly conjoined.

公开(公告)号：US11227684B2

公开(公告)日：2022-01-18

申请号：US17119885

申请日：2020-12-11

Applicant: PAIGE.AI, Inc.

Inventor： Christopher Kanan ,  Rodrigo Ceballos Lentini ,  Jillian Sue ,  Thomas Fuchs ,  Leo Grady

IPC: G16H30/40 ,  G16H50/20 ,  G06T7/00

Abstract: Systems and methods are disclosed for determining at least one geographic region of a plurality of geographic regions, at least one data variable, and/or at least one health variable, estimating a current prevalence of a data variable in a geographic region of the plurality of geographic regions, determining a trend in a relationship between the data variable and the geographic region at a current time, determining a second trend in the relationship between the data variable and the geographic region at at least one prior point in time, determining if the trend in the relationship is irregular within a predetermined threshold with respect to the second trend from the at least one prior point in time, and, upon determining that the trend in the relationship is irregular within a predetermined threshold, generating an alert.

公开(公告)号：US12299881B2

公开(公告)日：2025-05-13

申请号：US17934062

申请日：2022-09-21

Applicant: PAIGE.AI, Inc.

Inventor： Belma Dogdas ,  Christopher Kanan ,  Thomas Fuchs ,  Leo Grady

IPC: G06T7/00 ,  G16H10/40 ,  G16H50/20 ,  G16H30/40

Abstract: Systems and methods are disclosed for receiving digital images of a pathology specimen from a patient, the pathology specimen comprising tumor tissue, the one or more digital images being associated with data about a plurality of biomarkers in the tumor tissue and data about a surrounding invasive margin around the tumor tissue; identifying the tumor tissue and the surrounding invasive margin region to be analyzed for each of the one or more digital images; generating, using a machine learning model on the one or more digital images, at least one inference of a presence of the plurality of biomarkers in the tumor tissue and the surrounding invasive margin region; determining a spatial relationship of each of the plurality of biomarkers identified in the tumor tissue and the surrounding invasive margin region to themselves and to other cell types; and determining a prediction for a treatment outcome and/or at least one treatment recommendation for the patient.

公开(公告)号：US12243635B2

公开(公告)日：2025-03-04

申请号：US18400539

申请日：2023-12-29

Applicant: PAIGE.AI, Inc.

Inventor： Rodrigo Ceballos Lentini ,  Christopher Kanan

IPC: G16H30/20 ,  G06N20/00 ,  G06T7/00 ,  G06T7/11 ,  G16H30/40 ,  G16H50/50

Abstract: Systems and methods are disclosed for generating synthetic medical images, including images presenting rare conditions or morphologies for which sufficient data may be unavailable. In one aspect, style transfer methods may be used. For example, a target medical image, a segmentation mask identifying style(s) to be transferred to area(s) of the target, and source medical image(s) including the style(s) may be received. Using the mask, the target may be divided into tile(s) corresponding to the area(s) and input to a trained machine learning system. For each tile, gradients associated with a content and style of the tile may be output by the system. Pixel(s) of at least one tile of the target may be altered based on the gradients to maintain content of the target while transferring the style(s) of the source(s) to the target. The synthetic medical image may be generated from the target based on the altering.

公开(公告)号：US12182996B2

公开(公告)日：2024-12-31

申请号：US17591640

申请日：2022-02-03

Applicant: PAIGE.AI, Inc.

Inventor： Danielle Gorton ,  Matthew Hanna ,  Christopher Kanan

IPC: G06T7/00

Abstract: A computer-implemented method may identify attributes of electronic images and display the attributes. The method may include receiving one or more electronic medical images associated with a pathology specimen, determining a plurality of salient regions within the one or more electronic medical images, determining a predetermined order of the plurality of salient regions, and automatically panning, using a display, across the one or more salient regions according to the predetermined order.

公开(公告)号：US11901064B2

公开(公告)日：2024-02-13

申请号：US18181630

申请日：2023-03-10

Applicant: PAIGE.AI, Inc.

Inventor： Rodrigo Ceballos Lentini ,  Christopher Kanan

IPC: G16H30/20 ,  G16H50/50 ,  G16H30/40 ,  G06N20/00 ,  G06T7/00 ,  G06T7/11

CPC classification number: G16H30/20 ,  G06N20/00 ,  G06T7/0012 ,  G16H30/40 ,  G16H50/50 ,  G06T7/11 ,  G06T2207/20081 ,  G06T2207/20084 ,  G06T2207/20112 ,  G06T2207/20212 ,  G06T2207/30004

Abstract: Systems and methods are disclosed for generating synthetic medical images, including images presenting rare conditions or morphologies for which sufficient data may be unavailable. In one aspect, style transfer methods may be used. For example, a target medical image, a segmentation mask identifying style(s) to be transferred to area(s) of the target, and source medical image(s) including the style(s) may be received. Using the mask, the target may be divided into tile(s) corresponding to the area(s) and input to a trained machine learning system. For each tile, gradients associated with a content and style of the tile may be output by the system. Pixel(s) of at least one tile of the target may be altered based on the gradients to maintain content of the target while transferring the style(s) of the source(s) to the target. The synthetic medical image may be generated from the target based on the altering.

公开(公告)号：US11741604B2

公开(公告)日：2023-08-29

申请号：US17810815

申请日：2022-07-05

Applicant: PAIGE.AI, Inc.

Inventor： Supriya Kapur ,  Ran Godrich ,  Christopher Kanan ,  Thomas Fuchs ,  Leo Grady

IPC: G06T7/00 ,  G06T7/11 ,  G16H10/40 ,  G16H50/20 ,  G16H30/40 ,  G06V20/69 ,  G06F18/214

CPC classification number: G06T7/0012 ,  G06F18/214 ,  G06T7/11 ,  G06V20/695 ,  G06V20/698 ,  G16H10/40 ,  G16H30/40 ,  G16H50/20 ,  G06T2207/10056 ,  G06T2207/20081 ,  G06T2207/30024 ,  G06V2201/03

Abstract: Systems and methods are disclosed for receiving a target electronic image corresponding to a target specimen, the target specimen comprising a tissue sample of a patient, applying a machine learning system to the target electronic image to identify a region of interest of the target specimen and determine an expression level of, category of, and/or presence of a biomarker in the region of interest, the biomarker comprising at least one from among an epithelial growth factor receptor (EGFR) biomarker and/or a DNA mismatch repair (MMR) deficiency biomarker, the machine learning system having been generated by processing a plurality of training images to predict whether a region of interest is present in the target electronic image, the training images comprising images of human tissue and/or images that are algorithmically generated, and outputting the determined expression level of, category of, and/or presence of the biomarker in the region of interest.

公开(公告)号：US11676274B2

公开(公告)日：2023-06-13

申请号：US17654614

申请日：2022-03-14

Applicant: PAIGE.AI, Inc.

Inventor： Rodrigo Ceballos Lentini ,  Christopher Kanan ,  Patricia Raciti ,  Leo Grady ,  Thomas Fuchs

IPC: G06T7/00 ,  G16H50/20 ,  G16H30/40 ,  G06F18/214

CPC classification number: G06T7/0012 ,  G06F18/214 ,  G16H30/40 ,  G16H50/20 ,  G06T2207/10056 ,  G06T2207/20081 ,  G06T2207/30024 ,  G06T2207/30096 ,  G06V2201/03

Abstract: Systems and methods are disclosed for processing an electronic image corresponding to a specimen. One method for processing the electronic image includes: receiving a target electronic image of a slide corresponding to a target specimen, the target specimen including a tissue sample from a patient, applying a machine learning system to the target electronic image to determine deficiencies associated with the target specimen, the machine learning system having been generated by processing a plurality of training images to predict stain deficiencies and/or predict a needed recut, the training images including images of human tissue and/or images that are algorithmically generated; and based on the deficiencies associated with the target specimen, determining to automatically order an additional slide to be prepared.