Cancer informatics is an emerging field which combines data science, bioinformatics, and clinical research to improve cancer diagnosis, treatment, and research. The "Cancer Informatics" session centers around the use of computational methods and data-driven methodologies to advance patient outcomes and precision oncology.".
The discipline encompasses the integration, analysis, and collection of various datasets, such as genomic, proteomic, imaging, electronic medical records, and real-world clinical data. With the use of algorithms, machine learning, and AI, cancer informatics facilitates the identification of patterns, predictive biomarkers, and therapeutic targets for personalized treatment approaches.
The session delves into uses including precision medicine, trial design, prediction of treatment response, and population-based cancer research. Integration of data enables risk stratification, optimization of therapy, and early detection and informs healthcare policy, as well as resource distribution. New technologies such as AI-based decision support systems, cloud computing, and visualization platforms are revolutionizing the way clinicians and researchers understand complex cancer data.
Participants will learn about methodologies, clinical applications, and new research frontiers in cancer informatics. This session highlights how data-driven methods are transforming oncology, facilitating personalized therapy, speeding up research, and enhancing patient care, and ultimately defining the future of precision cancer medicine.
Welcome to the Cancer and Oncology Conference 2026, where global researchers, clinicians, and academics meet to share advances in cancer biology, precision medicine, diagnostics, therapies, and global solutions for patient care.
