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：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.