There are currently 45 different projects affiliated with the Insigneo Institute. Insigneo members who work and collaborate on in silico medicine projects. These affiliations allow greater dissemination and encourage multi-disciplinary collaborations.
Insigneo’s main objective is to develop methods and technologies according to the research agenda of the Virtual Physiological Human (VPH) initiative, and translate them into clinical practice. The VPH is a methodological and technological framework that, once established, will enable collaborative investigation of the human body as a single complex system. The collective framework will make it possible to share resources and observations formed by institutions and organisations creating disparate, but integrated computer models of the mechanical, physical and biochemical functions of a living human body.
Insigneo performs cutting edge research in areas of fundamental and applied biomedical modelling, imaging and informatics. Our projects contribute to the development of computational models capable of predicting the health status of individuals and these models are used for the personalised prevention, diagnosis and treatment of diseases.
Please see below for a list of selected Insigneo projects.
AirPROM stands for ‘Airway Disease Predicting Outcomes through Patient Specific Computational Modelling’. This is the technical name for the 5 year European-wide project (2011-2015), which aims to produce computer and physical models of the whole airway system for people with asthma and chronic obstructive pulmonary disease (COPD). AirPROM is an EU-funded project that brings together 34 partners from universities, research institutes, the biopharmaceutical industry, patient organisations, small companies and existing research projects with expertise in physiology, radiology, image analysis, bioengineering, data harmonization, security and ethics, computational modelling, systems biology, and health communication. Read more about AirPROM
Tasked by the European Commission (EC) to produce a Roadmap for the introduction of in silico clinical trials, the Avicenna project began in October 2013 and runs until September 2015. The project will develop and promote this Roadmap, and work to overcome the legal, financial, organisational and technical barriers that could slow the adoption of computer simulation in this domain. Read more about Avicenna
CHIC proposes the development of clinical trial driven tools, services and infrastructures that will support the creation of multiscale cancer hypermodels (integrative models). The project aspires to make a breakthrough in multiscale cancer modeling through greatly facilitating multi-modeller cancer hypermodelling and its clinical adaptation and validation. Standardisation of model description and model “fusion” will be two of the core means to achieve this goal. The creation of such elaborate and refined hypermodels is expected to sharply accelerate the clinical translation of multiscale cancer models and oncosimulators following their prospective clinical validation (in silico oncology). Read more about CHIC
A clinically-driven and strongly VPH-rooted project, where 7 world-renowned clinical centres of excellence pursue improved interoperability of paediatric biomedical information, data and knowledge by developing together a set of reusable and adaptable multiscale models for more predictive, individualised, effective and safer paediatric healthcare, being scientifically and technologically supported by one of the leading industrial actors in medical applications in Europe operating in conjunction with highly qualified SMEs and some of the most experienced research partners in the VPH community. Read more about MD Paedigree
Aims at developing and validating an integrated, multilevel patient-specific model for the simulation and prediction of metabolic and inflammatory processes in the onset and progress of the type 2 diabetes (T2D). This mission will be accomplished by setting up a multiscale model to study the systemic interactions of the involved biological mechanisms (immunological/inflammatory processes, energy intake/expenditure ratio and cell cycle rate) in response to a variety of nutritional and metabolic stimuli/stressors. Read more about Mission T2D
MultiSim is an EPSRC funded programme that started on 1st September 2013. The vision of the MultiSim programme is to develop a modelling framework focused on the human musculoskeletal system, but designed as a generic platform to address other engineering challenges that involve multi-scale modelling, unobservable states and variables, and uncertainty. This project aims to create a new generation of predictive models capable of handling complex multi-scale and multiphysics problems, characterised by uncertain and incomplete information. This will secure the considerable breadth of our vision. The depth of the vision will be achieved by applying radically new approaches to modelling the musculoskeletal system by integrating all interactions across space-time, from the cellular scale up to the whole organism scale, individualised to each patient. Read more about MultiSim
The Academic Unit of Radiology in the University’s Department of Cardiovascular Science, one of key research groups contributing to the Insigneo Institute for in silico Medicine, is internationally leading in the research and development of technology for clinical lung imaging with hyperpolarised gases and proton MRI which provide very detailed images of patient’s lungs without relying on X-rays radiation. Using these state-of-the-art techniques developed in Sheffield, by the Pulmonary, Lung and Respiratory Imaging Sheffield (POLARIS) project, led by Professor Jim Wild, the team creates functional images of the lungs in patients affected by conditions such as smoking, cystic fibrosis, emphysema, pulmonary hypertension and asthma. Collaborating with clinicians in Sheffield and across the UK they have led the way in translating these techniques in to the clinic. Read more about Polaris
An innovative clinical tool which can be used to investigate diseased coronary arteries. VIRTUheart computes intra-coronary physiology and virtual fractional flow reserve (vFFR) from angiogram images of the coronary arteries. Developed at the University of Sheffield, VIRTUheart uses computational fluid dynamics (CFD) to calculate changes in blood pressure which occur within diseased coronary arteries, rather than relying upon measurement with an invasive intracoronary pressure wire. Read more about VIRTUheart
EurValve (Personalised Decision Support for Heart Valve Disease), is a 5 million Euro research project, which is developing a comprehensive, clinically-compliant decision-support system. This project is a collaboration of 13 academic, clinical and industrial European Beneficiaries and is led by Professor Hose
The project will look at Valvular Heart Disease. Valvular Heart Disease currently affects 2.5% of the population, but is overwhelmingly a disease of the elderly and consequently on the rise. It is dominated by two conditions, Aortic Stenosis and Mitral Regurgitation, both of which are associated with significant morbidity and mortality, yet which pose a truly demanding challenge for treatment optimisation. By combining multiple complex modelling components developed in recent EC-funded research projects, a comprehensive, clinically-compliant decision-support system will be developed to meet this challenge, by quantifying individualised disease severity and patient impairment, predicting disease progression, ranking the effectiveness of alternative candidate procedures, and optimising the patient-specific intervention plan. This algorithmically-driven process will dramatically improve outcomes and consistency across Europe in this fast-growing patient group, maximising individual, societal and economic outcomes.
For further information about the project and the full list of collaborating partners please visit : http://cordis.europa.eu/project/rcn/199897_en.html