Machine Learning-Driven Multimodal Spectroscopic Liquid Biopsy for Early Multicancer Detection

ArXi:2605.13218v1 Announce Type: new Cancer is one of the leading causes of death worldwide, making the development of rapid, minimally invasive, label-free and scalable diagnostic strategies a major challenge in modern oncology. In this context, spectroscopic liquid biopsy has emerged as a promising alternative, as it enables the holistic characterization of biochemical alterations in biological fluids.