公开(公告)号：USD1004611S1

公开(公告)日：2023-11-14

申请号：US29758646

申请日：2020-11-17

Applicant: Hoffmann-La Roche Inc.

Designer： Silvia Elena Molero Leon ,  Hélène Jeanne Sahri ,  Turap Tasoglu

Abstract: FIG. 1 is a front view of a display screen or portion thereof with graphical user interface showing the claimed design;
FIG. 2 is a front view of a display screen or portion thereof with graphical user interface showing an alternative embodiment of the claimed design;
FIG. 3 is a front view of a display screen or portion thereof with graphical user interface showing an alternative embodiment of the claimed design; and,
FIG. 4 is a front view of a display screen or portion thereof with graphical user interface showing an alternative embodiment of the claimed design.
The broken lines in the figures around the graphical user interface show a display screen or portion thereof, and form no part of the claimed design. The other broken lines in the figures show portions of the graphical user interface that form no part of the claimed design.

公开(公告)号：US20240006080A1

公开(公告)日：2024-01-04

申请号：US18039346

申请日：2021-10-06

Applicant: Hoffmann-La Roche Inc.

Inventor： Silvia Elena MOLERO LEON ,  Turap Tasoglu

IPC: G16H50/70 ,  G16H10/60 ,  G16B40/20

CPC classification number: G16H50/70 ,  G16H10/60 ,  G16B40/20

Abstract: Disclosed are techniques for using artificial intelligence (AI) to facilitate the selection of lines of therapy for subjects diagnosed with cancer. Methods and systems disclosed herein relate to techniques for using AI to predict therapeutic outcomes and cancer evolution in subjects based on mutation profiles of subjects across cancer types, to predict treatment survival prospects for subjects using enriched subject-specific data sets, and to automatically validate whether the reasons (e.g., represented by features in a subject record) that contributed to the selection of a particular line of therapy comply with oncological treatment guidelines.