Researchers have turned artificial intelligence into a powerful new lens for understanding why cancer survival rates differ ...

Abstract: Ovarian cancer remains one of the most difficult gynecological cancers to detect early, often resulting in poor survival rates. This study presents a comparative analysis of machine learning ...

A comprehensive Python library for processing French IGN LiDAR HD data into machine learning-ready datasets. Features include GPU acceleration, rich geometric features, RGB/NIR augmentation, and ...

Abstract: Automated systems for skin cancer detection (ASCD) powered by Artificial Intelligence (AI) and Deep Learning (DL) have become critical tools in improving diagnostic accuracy, offering a ...

Background: This study aimed to develop and validate an interpretable machine learning model that harnesses circulating tumor DNA (ctDNA) to predict progression-free survival (PFS) in patients with ...