Imaging and radiology are cornerstones of cancer diagnosis and management. Innovations in MRI, CT, and PET scans have enhanced tumor visualization, enabling precise staging and monitoring. Functional imaging techniques, such as diffusion-weighted MRI, provide insights into tumor biology and treatment response. Artificial intelligence (AI) is transforming the field, offering rapid image analysis, pattern recognition, and predictive analytics for personalized care. AI-powered imaging tools aid in detecting subtle abnormalities and reducing diagnostic errors, enhancing early cancer detection. These advancements are shaping the future of non-invasive cancer diagnostics and treatment planning.



Title : Multiplexed biosensor detection of cancer biomarkers
Michael Thompson, University of Toronto, Canada
Title : Nanomedicine in over 45,000 patients and no cancer
Thomas Jay Webster, Brown University, United States