The Physiome Project aims to explain how each component of the human body operates as part of an integrated whole. Developing mathematical and computational models that represent interacting physical mechanisms and are informed by experimental and clinical data is a key component of this activity. Increasingly, this approach is moving from qualitative studies of laboratory experiments to clinical applications by providing quantitative predictions to aid diagnosis, facilitate drug and device development and guide treatment. Models of the heart have been a prominent feature of this enterprise, and it is now possible to construct models that represent the electromechanical behaviour of the heart of an individual patient. However, to be clinically useful, mathematical and computational models of the heart need to predict outcomes in a specific patient given available information. The inherent variability in patient physiology, pathology and therapies, combined with the sparsity and noise inherent in medical images and physiological data, necessitates quantification of uncertainty in these models to inform clinicians and decision makers of how much to rely on a prediction, to quantify confidence in model parameters, and to assist model developers in improving their predictions.
Models of the heart are typically systems of nonlinear ordinary differential equations and nonlinear systems of partial differential equations constrained by conservation laws. These are solved using numerical techniques, on a space scale from single cells up to meshes derived from medical images of the heart. Earlier work focused on developing efficient numerical methods and software solutions to reduce the time and computational cost of cardiac model simulations. Increasingly, with new software and hardware this is no longer the largest challenge. The latest major challenges facing cardiac modelling include parameter inference from uncertain experimental measurements, model personalisation to patient data, model selection, model discrepancy from reality, and most importantly how these factors affect the confidence in model predictions. To address these new challenges requires better links between statistics, mathematics and cardiac modelling communities to develop new mathematical techniques that are tailored to the challenges of patient-specific model development and its applications. This Isaac Newton Institute programme will bring together the statistics and cardiac modelling communities to identify challenging problems in cardiac modelling and novel mathematical and statistical solutions to these problems.
4 June 2019 to 4 June 2019
5 June 2019 to 7 June 2019
Subscribe for the latest updates on events and news
INI is a creative collaborative space which is occupied by up to fifty-five mathematical scientists at any one time (and many more when there is a workshop). Some of them may not have met before and others may not realise the relevance of other research to their own work.
INI is especially important as a forum where early-career researchers meet senior colleagues and form networks that last a lifetime.
Here you can learn about all activities past, present and future, watch live seminars and submit your own proposals for research programmes.
Within this section of the website you should find all the information required to arrange and plan your visit to the Institute. If you have any further questions, or are unable to find the information you require, please get in touch with the relevant staff member or our Reception team via our contact pages.
INI and its programme participants produce a range of publications to communicate information about activities and events, publish research outcomes, and document case studies which are written for a non-technical audience. You will find access to them all in this section.
The Isaac Newton Institute aims to maximise the benefit of its scientific programmes to the UK mathematical science community in a variety of ways.
Whether spreading research opportunities through its network of correspondents, offering summer schools to early career researchers, or hosting public-facing lectures through events such as the Cambridge Festival, there is always a great deal of activity to catch up on.
Find out about all of these endeavours in this section of the site.
There are various ways to keep up-to-date with current events and happenings at the Isaac Newton Institute. As detailed via the menu links within this section, our output covers social media streams, news articles, a regular podcast series, an online newsletter, and more detailed documents produced throughout the year.
“A world famous place for research in the mathematical sciences with a reputation for efficient management and a warm welcome for visitors”
The Isaac Newton Institute is a national and international visitor research institute. It runs research programmes on selected themes in mathematics and the mathematical sciences with applications over a wide range of science and technology. It attracts leading mathematical scientists from the UK and overseas to interact in research over an extended period.
INI has a vital national role, building on many strengths that already exist in UK universities, aiming to generate a new vitality through stimulating and nurturing research throughout the country.During each scientific programme new collaborations are made and ideas and expertise are exchanged and catalysed through lectures, seminars and informal interaction, which the INI building has been designed specifically to encourage.
For INI’s knowledge exchange arm, please see the Newton Gateway to Mathematics.
The Institute depends upon donations, as well as research grants, to support the world class research undertaken by participants in its programmes.
Fundraising activities are supported by a Development Board comprising leading figures in academia, industry and commerce.
Visit this section to learn more about how you could play a part in supporting INI’s groundbreaking research.
In this section you can find contact information, staff lists, maps and details of how to find INI’s main building in Cambridge.
Our administrative staff can help you with any queries regarding a prospective or planned visit. If you would like to discuss a proposed a research programme or other event, our senior management team will be happy to help.