Radiomics is a new area in oncology that derives quantitative information from medical images for improved cancer diagnosis, prognosis, and therapy planning. The session "Radiomics" highlights how sophisticated analysis of images can reveal occult tumor features and facilitate precision medicine.".
Through the evaluation of imaging characteristics like texture, shape, intensity, and spatial relationships, radiomics yields precise information about the heterogeneity of the tumor, its aggressiveness, and responsiveness to treatment. These image biomarkers supplement standard clinical and molecular information, facilitating more accurate, patient-specific treatment choices. Radiomics is especially beneficial for treatment response assessment, prognosis of disease progression, and monitoring minimal residual disease.
The session also discusses the combination of machine learning and artificial intelligence, which further improves feature extraction, predictive modeling, and pattern recognition. Radiomics may direct therapy choice, optimize radiation planning, and enhance clinical trial design by identifying patients who are most likely to benefit from a certain treatment.
Participants will learn about the principles, methods, and clinical applications of radiomics in cancer. This session highlights the revolutionary possibilities of imaging data analysis for enhancing early detection, targeted treatment strategies, and patient outcomes, making radiomics a pillar of contemporary precision oncology.
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.
