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Screening Tool Artificial Intelligence-based for Predicting the Genetic Risk of BREAST Cancer

Screening Tool Artificial Intelligence-based for Predicting the Genetic Risk of BREAST Cancer

Recruiting
Female
Phase N/A

Powered by AI

Overview

It is a retrospective observational study that will include female patients aged 18 years or older, who were treated between 2017 and 2024, in both public and private institutions, and identified as at high genetic risk by breast specialists and referred to a geneticist. The artificial intelligence-based tool to be used in this study is developed by the startup WeConecta, which will collect data via WhatsApp about the patients' family cancer history with the aim of predicting the genetic risk of developing breast cancer.

Description

This is an observational retrospective study. Patients considered by mastologists to be at genetic risk and who have undergone genetic testing with a geneticist will have their electronic medical records reviewed and, if eligible for the study, will answer questions conducted by the virtual assistant using AI about their family history of cancer.

This study will be conducted in two centers. The first is the Breast Center at Hospital Moinhos de Vento, designated as the coordinating center, located in Porto Alegre, Rio Grande do Sul, Brazil. It is a private center composed of a multidisciplinary team dedicated to breast health care, from routine exams for early detection of malignant tumors, diagnosis, comprehensive treatment at different stages of the disease, to post-treatment follow-up. The second center, designated as a participant, is the Human Genetics Center (CEGH/ICB), located in Goiânia, Brazil. This entity works interdisciplinarily and is linked to the Institute of Biological Sciences at the Federal University of Goiás (UFG), with the aim of developing activities in diagnosis, education, research, and outreach in the field of human genetics.

CEGH/ICB is a public institution that serves women with breast cancer from the Unified Health System (SUS), and its role in the research is to share collected data from the population of interest with the coordinating center.

Eligibility

Inclusion Criteria:

  • female patients,
  • aged 18 years or older,
  • identified as high genetic risk by breast surgeons,
  • referred to a geneticist, and
  • who agree to participate in the study.

Exclusion Criteria:

  • male patients,
  • absence of complete information in the medical records,
  • patients unaware of their biological family history, and
  • patients who do not agree to participate in the study.

Study details
    Breast Neoplasms

NCT07070128

AstraZeneca

13 May 2026

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