Verfahren und Systeme zur Vorhersage einer Kategorie von Mammographischer Brustdichte für eine Person

Details

Veröffentlichungs-Nr.

EP4451275

Aktenzeichen

EP24154637

Anmeldetag

30. Januar 2024

Veröffentlichung

17. September 2025

Erteilung

17. September 2025

Rechtsraum

EP

IPC

G16B20/00G16B40/20G16H50/20G16H50/30

Abstract

The present disclosure is related to methods and systems for predicting a category of mammographic breast density (MBD) for a subject using a microbial profile obtained from biological sample of the subject. The state-of-art diagnostic/ screening strategies for breast cancer are limited by one or more of factors like technical shortcomings, radiation exposure, and physical discomfort. In the present disclosure, a biological sample is collected from a subject. Then a quantitative abundance of each of a plurality of predetermined microbes associated with the biological sample is determined using a set of probes through a multiplex quantitative Polymerase Chain Reaction (qPCR) technique. Further the quantitative abundance is collated to obtain a microbial abundance matrix. Next a model score is determined based on the microbial abundance matrix, using a pre-determined machine learning (ML) model. Lastly the risk category of breast cancer of the subject is assessed based on the model score.

Anmelder

Firma

Tata Consultancy Services Limited

Land

🇮🇳 Indien

Fachgebiete