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It is undisputed that healthcare has progressed immeasurably during the last 100 years, but can we predict what the future will look like? A lot of research is required before we change the way that patients are treated and, excitingly, some of that is being conducted right here in Leeds. Come and hear from the very people shaping the future of healthcare, you can expect to hear about in silico clinical trials, predicting heart attacks, medical robotics and using viruses to treat cancer.
Magnetically Actuated Robotic Tools: Devices for the Future of Medicine
Onaizah Onaizah (Medical Robotics Research Fellow)
Small scale robots have the potential to offer many unique applications for minimally invasive surgery by enabling us to make surgery minimally invasive as they can remotely navigate their way to a target site through tortuous paths and perform interventional tasks. These robots are often operated using magnetic fields as these field can penetrate most environments and are relatively safe for biological organisms. Soft continuum robots and microrobots actuated using magnetic fields will be shown along with the progress these technologies have made towards different medical applications.
Using viruses to fight cancer
The past two years have allowed us all to understand just how powerful viruses can be, but how about the idea of using viruses to fight cancer? Research into oncolytic viruses has demonstrated their effectiveness at selectively killing tumour cells and there is growing interest in their clinical use. Come along to find more out about this novel idea and the cutting-edge research being done in Leeds.
From clinical trials to in-silico trials: virtual twins, virtual chimeras, and not a patient in sight
Zeike Taylor (Associate Professor School of Mechanical Engineering)
New medical devices must successfully pass through clinical trials before they can be certified for use. These trials are very expensive and lengthy, and necessarily limited in scope. Some advocate a new approach, called in-silico trials, in which we create cohorts of virtual patients, virtually implant a digital replica of the device in each, and predict its performance at any point from then on. In this talk I will briefly describe how in-silico trials can be realised in practice, summarise their potential benefits, and touch on their limitations and the gaps that still need to be filled.
Your eyes are windows to your heart
Nishant Ravikumar (Lecturer in Computer Science)
Recent advances in Machine Learning have opened the doors to significantly improving the quality of healthcare delivered to patients worldwide. Ranging from early identification of patients at risk of developing diseases in the future, to designing personalised treatment strategies, machine learning is steadily transforming the patient care pathway. In this talk I will describe current efforts underway at the University of Leeds to help identify patients at risk of cardiovascular disease, using multi-modal, multi-organ data, in a cost-effective manner.