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Bridging Innovation, Precision and Care


Haris’ Professional Journey
I graduated from the University of Nottingham in 2012 with a BMedSci and BMBS degree. After completion of Foundation and Core Medical Training, I commenced Clinical Oncology training in 2016, during which I also completed a one year fellowship in stereotactic radiotherapy. I was appointed as a Consultant Clinical Oncologist at Oxford University Hospitals NHS Foundation Trust in 2022. Significant Trends and Technology Advancements in the Oncology Space One of the most significant trends and technology advancements that will impact the oncology space is machine-learning techniques, or artificial intelligence (AI). AI aims to improve efficiency, reduced variability and has the potential to improve precision by providing predictive tools for personalization of treatment. Radiation Oncology is a highly technical field and there is a great reliance on data processing and computer software. There are various steps within the radiotherapy planning process where AI can be incorporated. One example is with contouring of the target and organs at risk (OARs), which can be a time-consuming process in the era of CT-based planning and IMRT. Automatic contouring of OARs using deformable image registration is currently widely being used in open source applications and commercially. AI is also used in clinical practice at the level of automated treatment planning using knowledge-based planning solution. This leads to time efficiency, while also potentially reducing inter-patient and inter-institution variability. However, it is accepted that this should not be used without supervision. Much remains, however, at research level and there are many potential future applications. One example is the utilization of AI in personalized cancer clinical decision making , by utilizing the ability of AI algorithms to mine unstructured data, leading to personalization of treatment; not to be used in isolation, but supporting the data obtained from randomized controlled trials. There has also been a great improvement in technology-driven research in radiation oncology, enabling radiotherapy to be delivered in a more precise way. This is important in minimizing long term side effects and survivorship. Leveraging Experience to Address Challenges in Cancer Treatment There are a number of challenges facing the cancer treatment space over the next decade. This relates to the increase in cancer diagnoses, contributed by improvement in cancer awareness and diagnostic pathway. Due to better healthcare, the demographic is also changing to an ageing population, which is associated with specific challenges. The most significant challenge in clinical practice would be in terms of staffing and resources. The NHS is deep in a workforce crisis. This is projected to rise in the next decade and appears to be the trend outside of the UK as well. This can lead to delay in delivery of cancer care, which then affects cancer outcomes.With any emerging healthcare technologies and approaches, prospective evaluation and real world application, including quality control is important.