公开(公告)号：US11881286B2

公开(公告)日：2024-01-23

申请号：US17033161

申请日：2020-09-25

Applicant: GENENTECH, INC.

Inventor： Akshata Ramrao Udyavar ,  Yulei Wang ,  Cleopatra Kozlowski

IPC: G16B40/00 ,  A61P35/00 ,  C07K16/22 ,  C07K16/28 ,  A61K39/00 ,  A61K38/21

CPC classification number: G16B40/00 ,  A61K38/217 ,  A61P35/00 ,  C07K16/22 ,  C07K16/2827 ,  A61K2039/507 ,  C07K2317/76

Abstract: A machine-learning model (e.g., a clustering model) may be used to predict a phenotype of a tumor based on expression levels of a set of genes. The set of genes may have been identified using a same or different machine-learning model. The phenotype may include an immune-excluded, immune-desert or an inflamed/infiltrated phenotype. A treatment strategy and/or treatment recommendation may be identified based on the predicted phenotype.

公开(公告)号：US20240105283A1

公开(公告)日：2024-03-28

申请号：US18534549

申请日：2023-12-08

Applicant: Genentech, Inc.

Inventor： Akshata Ramrao Udyavar ,  Yulei Wang ,  Cleopatra Kozlowski

IPC: G16B40/00 ,  A61K38/21 ,  A61P35/00 ,  C07K16/22 ,  C07K16/28

CPC classification number: G16B40/00 ,  A61K38/217 ,  A61P35/00 ,  C07K16/22 ,  C07K16/2827 ,  A61K2039/507

Abstract: A machine-learning model (e.g., a clustering model) may be used to predict a phenotype of a tumor based on expression levels of a set of genes. The set of genes may have been identified using a same or different machine-learning model. The phenotype may include an immune-excluded, immune-desert or an inflamed/infiltrated phenotype. A treatment strategy and/or treatment recommendation may be identified based on the predicted phenotype.