Abstract
Machine Learning (ML) has emerged as an essential tool for identifying complex patterns in blood tests, enabling the transformation of non-specific tests into accurate tools for diagnosing multiple diseases. In this context, we propose the integration of several routine blood markers into a robust panel aided by Artificial Intelligence (AI) to assess the risk of breast cancer in the age g…