公开(公告)号：US20240038370A1

公开(公告)日：2024-02-01

申请号：US18482237

申请日：2023-10-06

Applicant: Genentech, Inc.

Inventor： Neha Sutheekshna ANEGONDI ,  Jian DAI ,  Michael Gregg KAWCZYNSKI ,  Yusuke Alexander KIKUCHI

IPC: G16H30/40 ,  G16H10/60 ,  G06T7/00

CPC classification number: G16H30/40 ,  G16H10/60 ,  G06T7/0012 ,  G06T2207/30041 ,  G06T2207/10101 ,  G06T2207/20081

Abstract: A method and system for predicting a treatment outcome. Three-dimensional imaging data for a retina of a subject is received. A first output is generated using a deep learning system and the three-dimensional imaging data. The first output and baseline data are received as input for a symbolic model. A treatment outcome is predicted, via the symbolic model, for the subject undergoing a treatment for neovascular age-related macular degeneration (nAMD) using the input.

公开(公告)号：US20240038395A1

公开(公告)日：2024-02-01

申请号：US18482264

申请日：2023-10-06

Applicant: Genentech, Inc. ,  Hoffmann La-Roche Inc.

Inventor： Andreas MAUNZ ,  Ales NEUBERT ,  Andreas THALHAMMER ,  Jian DAI

IPC: G16H50/20 ,  A61B3/12 ,  A61B3/00 ,  G06T7/00 ,  G06T7/11

CPC classification number: G16H50/20 ,  A61B3/1225 ,  A61B3/0025 ,  G06T7/0016 ,  G06T7/11 ,  A61B3/102

Abstract: A method and system for managing a treatment for a subject diagnosed with neovascular age-related macular degeneration (nAMD). Spectral domain optical coherence tomography (SD-OCT) imaging data of a retina of the subject is received. Retinal feature data is extracted for a plurality of retinal features using the SD-OCT imaging data, the plurality of retinal features being associated with at least one of a set of retinal fluids or a set of retinal layers. Input data formed using the retinal feature data for the plurality of retinal features is sent into a first machine learning model. A treatment level for an anti-vascular endothelial growth factor (anti-VEGF) treatment to be administered to the subject is predicted, via the first machine learning model, based on the input data.

公开(公告)号：US20240339191A1

公开(公告)日：2024-10-10

申请号：US18744107

申请日：2024-06-14

Applicant: Genentech, Inc. ,  Hoffmann-La Roche Inc.

Inventor： Yusuke Alexander KIKUCHI ,  Ales NEUBERT ,  Carlos Quezada RUIZ ,  Jian DAI

IPC: G16H20/17 ,  A61B3/00 ,  A61B3/10 ,  A61B3/12 ,  G16H50/30

CPC classification number: G16H20/17 ,  A61B3/0025 ,  A61B3/102 ,  A61B3/1225 ,  G16H50/30

Abstract: A method and system for predicting a selected treatment regimen for a subject. Baseline data for a subject diagnosed with neovascular age-related macular degeneration (nAMD) is received. A plurality of predictor inputs is formed for an outcome predictor using the baseline data and regimen data for a plurality of treatment regimens. The plurality of predictor inputs comprises a different predictor input for each of the plurality of treatment regimens. A plurality of treatment scores is generated for the plurality of treatment regimens via the set of outcome predictor using the plurality of predictor inputs. One of the plurality of treatment regimens is selected as a selected treatment regimen for the subject based on the plurality of treatment scores.

公开(公告)号：US20240338823A1

公开(公告)日：2024-10-10

申请号：US18744197

申请日：2024-06-14

Applicant: Genentech, Inc. ,  Hoffmann-La Roche Inc.

Inventor： Fethallah BENMANSOUR ,  Jelena NOVOSEL ,  Jian DAI ,  Daniela Ferrara CAVALCANTI

IPC: G06T7/00

CPC classification number: G06T7/0012 ,  G06T2207/20081 ,  G06T2207/30041

Abstract: A method and system for detecting a presence of comorbid ocular conditions. Input data that includes imaging data for an eye of a subject is received. A score that indicates whether a presence of a plurality of comorbid ocular conditions is detected is generated in the eye of the subject using a deep learning model and the input data. A comorbidity output is generated based on the score. The comorbidity score may be a classification indicating whether the presence of the plurality of comorbid ocular conditions is detected.

公开(公告)号：US20230143860A1

公开(公告)日：2023-05-11

申请号：US17986737

申请日：2022-11-14

Applicant: Genentech, Inc. ,  Hoffmann-La Roche Inc.

Inventor： Xiao LI ,  Jian DAI ,  Fabien GAIRE

IPC: G06T7/00 ,  G16H50/20 ,  G06V20/69

CPC classification number: G06T7/0012 ,  G16H50/20 ,  G06V20/698 ,  G06T2207/10024 ,  G06T2207/10056 ,  G06T2207/30096

Abstract: Systems and methods relate to processing digital pathology mages. More specifically, depictions of objects of a first class (e.g., lymphocytes) and depictions of objects of a second class (e.g., tumor cells) are detected. Locations of each biological object depiction are identified, which are used to generate multiple spatial-distribution metrics that characterize where depictions of objects of a first class are located relative to objects of a second class. The spatial-distribution metrics are used to generate a result corresponding to a predicted biological state of or a potential treatment of a subject. For example, the result may predict whether and/or an extent to which lymphocytes have infiltrated a tumor, whether checkpoint blockade therapy would be an effective treatment for the subject, and/or whether a subject is eligible for a clinical trial.

公开(公告)号：US20230025980A1

公开(公告)日：2023-01-26

申请号：US17782497

申请日：2020-12-04

Applicant: Genentech, Inc.

Inventor： Michael Gregg KAWCZYNSKI ,  Jeffrey R. WILLIS ,  Nils Gustav Thomas BENGTSSON ,  Jian DAI ,  Simon Shang GAO

IPC: G06T7/00 ,  G06T3/00 ,  G06T7/187

Abstract: Systems and methods relate to processing optical tomography coherence (OCT) images to predict characteristics of a treatment to be administered to effectively treat age-related macular degeneration. The processing can include pre-processing the image by flattening and/or cropping the image and processing the pre-processed image using a neural network. The neural network can include a deep convolutional neural network. An output of the neural network can indicate a predicted frequency and/or interval at which a treatment (e.g., anti-vascular endothelial growth factor therapy) is to be administered so as to prevent leakage of vasculature in the eye.