Computational Oncology is an emerging and transformative field in cancer research, dedicated to harnessing the power of data science, artificial intelligence, and computational modeling to better understand, predict, and treat cancer. By integrating multi-scale data, from molecular information to single-cell and spatial analyses, as well as clinical and imaging data, computational oncology enables the discovery of novel disease mechanisms and the development of innovative diagnostic and therapeutic strategies. Researchers in this area design advanced algorithms and models to decode the complexity of tumors and their microenvironment, offering new ways to predict patient responses, guide personalized treatments, and accelerate translational research. Computational approaches are reshaping the way cancer biology is studied and applied in clinical practice. With its strong foundation in multidisciplinary collaboration, CRTOH is uniquely positioned to advance this frontier of cancer research, bridging the gap between computation, biology, and medicine to deliver impactful innovations that will shape the future of oncology.