公开(公告)号：US11636601B2

公开(公告)日：2023-04-25

申请号：US17212811

申请日：2021-03-25

Applicant: GOOGLE LLC

Inventor： Lily Hao Yi Peng ,  Dale R. Webster ,  Philip Charles Nelson ,  Varun Gulshan ,  Marc Adlai Coram ,  Martin Christian Stumpe ,  Derek Janme Wu ,  Arunachalam Narayanaswamy ,  Avinash Vaidyanathan Varadarajan ,  Katharine Blumer ,  Yun Liu ,  Ryan Poplin

IPC: G06T7/00 ,  G16H50/30 ,  G16H50/20 ,  G06N3/04 ,  G06N3/08

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for processing fundus images using fundus image processing machine learning models. One of the methods includes obtaining a model input comprising one or more fundus images, each fundus image being an image of a fundus of an eye of a patient; processing the model input using a fundus image processing machine learning model, wherein the fundus image processing machine learning model is configured to process the model input comprising the one or more fundus image to generate a model output; and processing the model output to generate health analysis data.

公开(公告)号：US10546650B2

公开(公告)日：2020-01-28

申请号：US14921973

申请日：2015-10-23

Applicant: Google LLC

Inventor： Michelle Therese Hoerner Dimon ,  Marc Berndl ,  Marc Adlai Coram ,  Brian Trippe ,  Patrick F. Riley ,  Philip Charles Nelson

IPC: G16B40/00 ,  G06N3/08 ,  G06N3/04

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for obtaining data defining a sequence for an aptamer, the aptamer comprising a string of nucleobases; encoding the data defining the sequence for the aptamer as a neural network input; and processing the neural network input using a neural network to generate an output that characterizes how strongly the aptamer binds to a particular target molecule, wherein the neural network has been configured through training to receive the data defining the sequence and to process the data to generate predicted outputs that characterize how strongly the aptamer binds to the particular target molecule.

公开(公告)号：US11670400B2

公开(公告)日：2023-06-06

申请号：US16752513

申请日：2020-01-24

Applicant: Google LLC

Inventor： Michelle Therese Hoerner Dimon ,  Marc Berndl ,  Marc Adlai Coram ,  Brian Trippe ,  Patrick F. Riley ,  Philip Charles Nelson

IPC: G06N3/08 ,  G16B40/20 ,  G16B40/00 ,  G06N3/045

CPC classification number: G16B40/20 ,  G06N3/08 ,  G16B40/00 ,  G06N3/045

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for obtaining data defining a sequence for an aptamer, the aptamer comprising a string of nucleobases; encoding the data defining the sequence for the aptamer as a neural network input; and processing the neural network input using a neural network to generate an output that characterizes how strongly the aptamer binds to a particular target molecule, wherein the neural network has been configured through training to receive the data defining the sequence and to process the data to generate predicted outputs that characterize how strongly the aptamer binds to the particular target molecule.

公开(公告)号：US10970841B2

公开(公告)日：2021-04-06

申请号：US16325580

申请日：2017-08-18

Applicant: GOOGLE LLC

Inventor： Lily Hao Yi Peng ,  Dale R. Webster ,  Philip Charles Nelson ,  Varun Gulshan ,  Marc Adlai Coram ,  Martin Christian Stumpe ,  Derek Janme Wu ,  Arunachalam Narayanaswamy ,  Avinash Vaidyanathan Varadarajan ,  Katharine Blumer ,  Yun Liu ,  Ryan Poplin

IPC: G06T7/00 ,  G16H50/30 ,  G16H50/20 ,  G06N3/04 ,  G06N3/08

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for processing fundus images using fundus image processing machine learning models. One of the methods includes obtaining a model input comprising one or more fundus images, each fundus image being an image of a fundus of an eye of a patient; processing the model input using a fundus image processing machine learning model, wherein the fundus image processing machine learning model is configured to process the model input comprising the one or more fundus image to generate a model output; and processing the model output to generate health analysis data.

公开(公告)号：US20240006027A1

公开(公告)日：2024-01-04

申请号：US18307748

申请日：2023-04-26

Applicant: Google LLC

Inventor： Michelle Therese Hoerner Dimon ,  Marc Berndl ,  Marc Adlai Coram ,  Brian Trippe ,  Patrick F. Riley ,  Philip Charles Nelson

IPC: G16B40/20 ,  G16B40/00 ,  G06N3/08

CPC classification number: G16B40/20 ,  G16B40/00 ,  G06N3/08 ,  G06N3/045

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for obtaining data defining a sequence for an aptamer, the aptamer comprising a string of nucleobases; encoding the data defining the sequence for the aptamer as a neural network input; and processing the neural network input using a neural network to generate an output that characterizes how strongly the aptamer binds to a particular target molecule, wherein the neural network has been configured through training to receive the data defining the sequence and to process the data to generate predicted outputs that characterize how strongly the aptamer binds to the particular target molecule.

公开(公告)号：US20230260126A1

公开(公告)日：2023-08-17

申请号：US18305789

申请日：2023-04-24

Applicant: Google LLC

Inventor： Lily Hao Yi Peng ,  Dale R. Webster ,  Philip Charles Nelson ,  Varun Gulshan ,  Marc Adlai Coram ,  Martin Christian Stumpe ,  Derek Janme Wu ,  Arunachalam Narayanaswamy ,  Avinash Vaidyanathan Varadarajan ,  Katharine Blumer ,  Yun Liu ,  Ryan Poplin

IPC: G06T7/00 ,  G16H50/30 ,  G16H50/20 ,  G06N3/044 ,  G06N3/08

CPC classification number: G06T7/0016 ,  G16H50/30 ,  G16H50/20 ,  G06N3/044 ,  G06N3/08 ,  G01N2800/168 ,  G01N2800/164 ,  G06T2207/10016 ,  G06T2207/20076 ,  G06T2207/20081 ,  G06T2207/30041

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for processing fundus images using fundus image processing machine learning models. One of the methods includes obtaining a model input comprising one or more fundus images, each fundus image being an image of a fundus of an eye of a patient; processing the model input using a fundus image processing machine learning model, wherein the fundus image processing machine learning model is configured to process the model input comprising the one or more fundus image to generate a model output; and processing the model output to generate health analysis data.

公开(公告)号：US20210209762A1

公开(公告)日：2021-07-08

申请号：US17212811

申请日：2021-03-25

Applicant: GOOGLE LLC

Inventor： Lily Hao Yi Peng ,  Dale R. Webster ,  Philip Charles Nelson ,  Varun Gulshan ,  Marc Adlai Coram ,  Martin Christian Stumpe ,  Derek Janme Wu ,  Arunachalam Narayanaswamy ,  Avinash Vaidyanathan Varadarajan ,  Katharine Blumer ,  Yun Liu ,  Ryan Poplin

IPC: G06T7/00 ,  G16H50/30 ,  G16H50/20 ,  G06N3/04 ,  G06N3/08

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for processing fundus images using fundus image processing machine learning models. One of the methods includes obtaining a model input comprising one or more fundus images, each fundus image being an image of a fundus of an eye of a patient; processing the model input using a fundus image processing machine learning model, wherein the fundus image processing machine learning model is configured to process the model input comprising the one or more fundus image to generate a model output; and processing the model output to generate health analysis data.

公开(公告)号：US20200160937A1

公开(公告)日：2020-05-21

申请号：US16752513

申请日：2020-01-24

Applicant: Google LLC

Inventor： Michelle Therese Hoerner Dimon ,  Marc Berndl ,  Marc Adlai Coram ,  Brian Trippe ,  Patrick F. Riley ,  Philip Charles Nelson

IPC: G16B40/00 ,  G06N3/08

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for obtaining data defining a sequence for an aptamer, the aptamer comprising a string of nucleobases; encoding the data defining the sequence for the aptamer as a neural network input; and processing the neural network input using a neural network to generate an output that characterizes how strongly the aptamer binds to a particular target molecule, wherein the neural network has been configured through training to receive the data defining the sequence and to process the data to generate predicted outputs that characterize how strongly the aptamer binds to the particular target molecule.

公开(公告)号：US20190180441A1

公开(公告)日：2019-06-13

申请号：US16325580

申请日：2017-08-18

Applicant: GOOGLE LLC

Inventor： Lily Hao Yi Peng ,  Dale R. Webster ,  Philip Charles Nelson ,  Varun Gulshan ,  Marc Adlai Coram ,  Martin Christian Stumpe ,  Derek Janme Wu ,  Arunachalam Narayanaswamy ,  Avinash Vaidyanathan Varadarajan ,  Katharine Blumer ,  Yun Liu ,  Ryan Poplin

IPC: G06T7/00 ,  G06N3/04 ,  G06N3/08 ,  G16H50/20 ,  G16H50/30

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for processing fundus images using fundus image processing machine learning models. One of the methods includes obtaining a model input comprising one or more fundus images, each fundus image being an image of a fundus of an eye of a patient; processing the model input using a fundus image processing machine learning model, wherein the fundus image processing machine learning model is configured to process the model input comprising the one or more fundus image to generate a model output; and processing the model output to generate health analysis data.