Events (27)

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In this section, you will find a collection of reports and news about the wide range of outreach events that we have undertaken. These events are organised as part of the wider policy to communicate our research to the community of Leeds and beyond. Alongside this, we undertake these events to help to raise the profile of science and technology in schools and colleges. We are proud to show you the range of events we are involved in and to show the commitment of our entire research group to helping you get closer to the world of cutting edge research we perform here at CISTIB.

What's Next for Orthopaedic Engineering? Data-driven Approaches - Institution of Mechanical Engineers - IMechE, 2 December 2022.
Organised by the Institution's Biomedical Engineering Division, join this webinar to be kept abreast of orthopaedic engineering research developments to look forward to in 2023. We will hear from experts in the orthopaedic surgery and engineering communities, this year covering data-driven approaches including in silico trials, MSK modelling, and AI.
Alex Frangi: "In Silico Regulatory Science and Innovation. Safer, Better & Cheaper Devices"
Diamond Jubilee Chair in Computational Medicine and Royal Academy of Engineering Chair in Emerging Technologies - The University of Leeds

Claudia Lindner:  "Computer-Aided Analysis Of Radiographic Imaging Data To Study, Diagnose And Manage Musculoskeletal Disorders"
Sir Henry Dale Research Fellow - University of Manchester
Harry Rossides:  "Empowering The Future Of Ai: Data-Driven Approaches to Prosthetic Socket Design"
Technical Lead - Radii Devices Ltd. UK
Britt Barvelink:  "Predicting Redisplacement In Wrist Fractures Using Machine Learning"
PhD candidate at the Department of Orthopaedics - Erasmus Medical Center Rotterdam





Royal Academy of Engineering Research Forum 2022, 15th November 2022.

Our Director Prof Alejandro Frangi and RAEng Chair in Emerging Technologies contribute to the Royal Academy of Engineering Research Forum 2022 presenting our groundbreaking work on in silico trials: Intelligent Medical Device Innovation

 RAEng Forum 2022 URL:




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RAE Research Forum 2022
Computational Precision Imaging for Next-Generation Regulation of Medical Products. Professor Alejandro F Frangi, 8 November 2022.

In this talk, I will overview our progress in the INSILEX Programme.

We envision a paradigm shift in medical device innovation where quantitative sciences are exploited to carefully engineer medical device designs, explicitly optimize clinical outcomes, and thoroughly test side effects before being marketed.
INSILEX is underpinned by Computational Medicine, an emerging discipline devoted to developing quantitative approaches for understanding the mechanisms, diagnoses, and treatment of human disease through the systematic application of mathematics, engineering, and computational science.
Dealing with the extraordinary multi-scale complexity and variability intrinsic to human biological systems and health data demands radically new approaches compared to methods for manufactured systems. Within this framework, INSILEX extensively uses medical image computing, a mature field challenged by the progress made across all medical imaging technologies and more recent breakthroughs in biological imaging.

We advocate for “Precision Imaging”, not as a new discipline but as a distinct emphasis in medical imaging, unifying the efforts behind mechanistic and phenomenological model-based imaging. This talk summarizes and formalizes our vision of Precision Imaging for Precision Medicine and highlights connections with past research and our current focus on large-scale computational phenomics and in silico clinical trials.

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Thursday, 18 August 2022 00:00

MICCAI Fellow Talk Professor Alejandro F Frangi

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MICCAI Fellow Talk Professor Alejandro F Frangi, 18 August 2022.
Medical Image analysis has grown into a matured field challenged by the progress made across all medical imaging technologies and more recent breakthroughs in biological imaging. the cross-fertilisation between medical image analysis, medical imaging physics and technology, and domain knowledge from medicine and biology has spurred a truly interdisciplinary effort that stretched outside the original boundaries of the disciplines that gave birth to this field and created stimulating and enriching synergies.
Precision imaging is not a new discipline but rather a distinct emphasis in medical imaging born at the crossroads between and unifying the efforts behind mechanistic and phenomenological model-based imaging. Precision imaging is characterised by being descriptive, predictive and integrative. It captures three main directions in the effort to deal with information deluge in imaging sciences and thus achieves wisdom from data, information and knowledge. Precision imagin can lead to carefully and mechanistically engineered imaging biomarkers and the use of medical imaging-based computational modelling and simulation for improved regulatory science and innovation of medical products.
This talk summarises and formalises our vision of Precision Imaging for Precision Medicine and highlights some connections with past research and our current focus on large-scale computational phenomics and in silico clinical trials.




Monday, 09 December 2019 00:00

MULTI-X Workshop

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MULTI-X Workshop, 09 December 2022.
The CISTIB team is prepared a set of training activities designed for the users to improve their capabilities to develop scalable data analytics solutions in MULTI-X. The activities included the organisation of a number of workshops with different levels of complexity. The focus of the Use Cases presented in this workshop varied according to the different groups of attendees (ML/DL, bid data, simulations).







Wednesday, 22 June 2022 00:00

Leeds Fluid Dynamics Symposium - 2022

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Leeds Fluid Dynamics Symposium, 22 June 2022.
The annual CDT Fluid Dynamics Symposium took place on 22nd June, which brought together leading researchers in fluid dynamics. The student organising committee this year were Rose Collet, Michael MacRaild and Jacob Perez. The speakers were Usama Kadri (Cardiff University), Karol Bacik (University of Bath), Angela Busse (University of Glasgow), Yiannis Ventikos (University College London), Katharine Fraser (University of Bath), Jovana Serbanovic-Canic (University of Sheffield) and Zhiming Yuan (University of Strathclyde).

Leeds Fluid Dynamics Symposium June 22 2022 1
Tuesday, 12 July 2022 00:00

CRUK RadNet Student/postdoc Symposium

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CRUK RadNet Student/postdoc Symposium, 12 July 2022.
CRUK RadNet City of London hosted the first CRUK RadNet PhD/postdoc symposium at the Crick on for 12th July. This event is intended for early career radiation researchers and is open to academia and industry, across the UK (ie. it is not limited to RadNet centres/units). This symposium highlight stimulating talks that align to CRUK RadNet's research strategies- discovery, translational and clinical research. Talks from our academic and industry partners, thus providing an ideal setting to develop new collaborations across the network.

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Pint of Science - How is Leeds shaping the future of healthcare? , 10 May 2022.
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.
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.
Pint of Science
Thursday, 17 February 2022 00:00

Headingley Café Scientifique - Nishant Ravikumar

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Headingley Café Scientifique - Nishant Ravikumar, 17 Feb 2022.
Headingley Cafe Scientifique Meeting 14 February 2022 Nishant Ravikumar on "Computational Imaging & Simulation Technologies in Biomedicine"

Headingley Café Scientifique
Wednesday, 13 October 2021 00:00

Emerging Technologies: Resilient healthcare

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Emerging Technologies: Resilient healthcare, 13 Oct 2021.
A resilient healthcare system is expected to consistently deliver high quality care, withstand disruptive events and continually adapt, learn and improve. Healthcare is under tremendous pressure regarding safety, efficiency, and economic viability. A panel of experts from the Academy’s prestigious Chairs in Emerging Technologies will discuss their biotechnological research, the impact of their technologies in the healthcare sector and societal benefit in the pandemic response and beyond.

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