University of Cyprus team has created an AI-powered software analyzing Shear Wave Elastography (SWE) images to predict cancer therapy response based on tumor stiffness. By integrating with existing ultrasound systems, the software offers reliable, non-invasive, and cost-effective predictive biomarkers for multiple tumor types. This way, a more targeted clinical decision-making process can be provided with the personalization of each patient’s treatment planning. By classifying patients as responders or non-responders to suggested therapies prior to their administration, treatments with severe side effects can be avoided.