Our mission

To catalyse new research partnerships that use mathematics to solve problems in respiratory medicine.

BIOREME is a UK network open to people working in academia, medicine, industry, and charity who are interested in the applications of mathematical modelling to lung health and respiratory medicine.

Lung disease is a monumental health challenge with 12.7M people in the UK suffering from chronic respiratory illnesses. Lung diseases are responsible for >700,000 hospital admissions, >6 million inpatient bed-days each year, and a death every 5 minutes. The NHS burden is exacerbated by COVID and enormous increases in COVID-related chronic conditions.

Our aim is to catalyse research in these areas that will result in new technologies and treatments, as well as better understanding, of lung disease. To achieve this, we host events including sandpits, workshops, forums and webinars to bring multi-disciplinary researchers together with industry and patient representatives. Furthermore, we offer several funding opportunities to help get new research projects off the ground.

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This work is supported by the Engineering and Physical Sciences Research Council [grant number EP/W000490/1]

 

Watch our video animation to discover more about our network.

 
 

 Network Members

Our Partners

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Research Highlights

Showcase of our members’ research. Please contact us if you would like your research to be featured!

Compartmental models that incorporate data and medical knowledge can help to optimise strategies for mechanical ventilation of critically ill patients. Find out more.

Compartmental models that incorporate data and medical knowledge can help to optimise strategies for mechanical ventilation of critically ill patients. Find out more.

Densitometry applied to evaluate lung function and disease in adult asthma. Left: HU changes (expiration [FRC] – inspiration [TLC]) computed and visualized using inspiration-to-expiration image registration and coronal plane projection for all segmen

Densitometry applied to evaluate lung function and disease in adult asthma. Left: HU changes (expiration [FRC] – inspiration [TLC]) computed and visualized using inspiration-to-expiration image registration and coronal plane projection for all segmented voxels with HU in [-1000, -500]. Right: Parametric response map (PRM) functional small airways disease (fSAD) classed voxels visualized in coronal projection. Source.

Collaborative research on modelling lung function and imaging from the Universities of Manchester and Sheffield. Model-based Bayesian inference of the ventilation distribution in patients with cystic fibrosis from multiple breath washout, with compar

Collaborative research on modelling lung function and imaging from the Universities of Manchester and Sheffield. Model-based Bayesian inference of the ventilation distribution in patients with cystic fibrosis from multiple breath washout, with comparison to ventilation MRI. Read the paper here.

Research from the university of Oxford demonstrating the potential of a new technology "computed cardiopulmonology". "Altered lung physiology in two cohorts after COVID-19 infection as assessed by computed cardiopulmonography". Read the paper here

Research from the university of Oxford demonstrating the potential of a new technology "computed cardiopulmonology". "Altered lung physiology in two cohorts after COVID-19 infection as assessed by computed cardiopulmonography". Read the paper here and press release here.

Research from the POLARIS group at the University of Sheffield: Large-scale investigation of deep learning approaches for ventilated lung segmentation using multi-nuclear hyperpolarized gas MRI. Read the full paper here .

Research from the POLARIS group at the University of Sheffield: Large-scale investigation of deep learning approaches for ventilated lung segmentation using multi-nuclear hyperpolarized gas MRI. Read the full paper here.