SYSTEMS AND METHODS FOR EVALUATION OF CHROMOSOMAL INSTABILITY USING MACHINE-LEARNING

The present application provides methods and systems for detecting and quantifying chromosomal instability from histology images with machine learning. Also described herein are methods for selecting treatments for a medical disease, by determining a chromosomal instability pathological metric from histology images. The disclosed methods and systems may also be used to investigate disease progression and prognosis..

Medienart:

Patent

Erscheinungsjahr:

2023

Erschienen:

2023

Enthalten in:

Europäisches Patentamt - (2023) vom: 20. Apr. Zur Gesamtaufnahme - year:2023

Sprache:

Englisch

Beteiligte Personen:

VERMA AKANKSHA [VerfasserIn]
ELEMENTO OLIVIER [VerfasserIn]
XU ZHUORAN [VerfasserIn]

Links:

Volltext [kostenfrei]

Themen:

Sonstige Themen:
615
G01N: Investigating or analysing materials by determining (...)
G06T: Image data processing or generation, in general (...)
G06V (...)
G16H: Healthcare informatics, i.e. information and commun (...)
inf
tec

Anmerkungen:

Source: www.epo.org (no modifications made), First posted: 2023-04-20, Last update posted on www.tib.eu: 2023-09-28, Last updated: 2023-09-29

Patentnummer:

US2023117405

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

EPA002145448