Reza Kalantar recently began his BRC-supported PhD under the supervision of Professor Dow-Mu Koh, Consultant Radiologist in Functional Imaging at The Royal Marsden NHS Foundation Trust and The Institute of Cancer Research, London. Reza Kalantar: PhD student Reza discusses his research into the use of artificial intelligence and machine learning in MRI scans and the potential impact for patients. Improving diagnosis, disease-monitoring and treatment planning My PhD project focuses on developing and applying artificial intelligence (AI) algorithms that can enable technology to automatically learn from data sets – known as machine learning. These AI algorithms will be used to help define and identify pelvic tumours in MRI images, with the aim of improving diagnosis, disease monitoring and radiotherapy treatment planning through the MR-Linac. The MR Linac is ground-breaking technology which combines MRI scans and radiotherapy to deliver treatment more accurately to tumours that move, such as those affected by bowel or bladder changes. Prior my PhD studies, I studied an MRes degree in Medical Robotics and Image-Guided Interventions at Imperial College London and an MEng in Medical Engineering at the University of Leeds, which have provided me with an excellent platform and skill-set to carry out further research at doctoral level. Revolutionising the diagnosis and treatment of cancer I have a great passion for improving healthcare and a keen interest in technology; I strongly believe that AI and machine learning approaches can help revolutionise the way we diagnose and treat cancer. My research will aim to provide radiologists and clinicians with a valuable tool to make decisions with greater accuracy and generate computer-assisted predictions in a matter of seconds. Multidisciplinary research I was attracted to working for The Royal Marsden and the ICR because of their notable multidisciplinary attention to state-of-the-art research and their great ambition to expand the boundaries of advancements in medicine. I am excited to be involved in this rewarding programme and am looking forward to developing as an all-round researcher throughout my studies. Following my PhD, I hope to pursue research at the higher level and make a tangible impact on patient well-being.