THE RADIOMICS AND RADIOGENOMICS

Abstract

This chapter explores the transformative realms of radiomics and radiogenomics, key domains in precision medicine that enhance the intersection of medical imaging and genomics. Radiomics extracts quantitative features from medical images, facilitating nuanced disease characterization and personalized treatment strategies. Radiogenomics integrates this data with genetic profiles to unravel the relationship between imaging phenotypes and molecular drivers of diseases, particularly cancer. Methodologies, including image acquisition, feature extraction, and machine learning applications, are dissected alongside their clinical implications. The chapter highlights advance in cancer diagnosis, prognosis, and therapeutic response prediction while addressing challenges like data standardization, clinical integration, and ethical considerations. It also emphasizes the future of multimodal data fusion and artificial intelligence-driven models, aiming to bridge research and clinical practice. Together, these fields hold unparalleled potential to revolutionize healthcare by fostering individualized care, optimizing outcomes, and advancing precision medicine.