SofTMech

 

 

SofTMech is a large and established Centre of Mathematics for Healthcare, with primary support from the EPSRC since 2016.  Our Centre consists of multiple academic, clinical and industrial partners and combines extensive expertise in mathematical, statistical and computational modelling of cardiac and cancer physiology and disease.  We have developed a range of novel mulltiscale mathematical models and statistical inference techniques applicable to heart conditions, diseases, cancer and beyond, including patient-specific medical device optimisation and modelling diseases in the human retina. Details of our grants, funding opportunities and partners are available from the menu

 

 

Optimizing Cardio-Mechanic Models for Diagnosis and Treatment of Heart Disease

Soft Tissue Workshop 7-9 June 2023

Map of the Gilmorehill Campus

Planning your workshop visit

Newsround

  • 23 Aug

    CardiARC Zone

    As part of the ARCADIA festival SofTMech presented the CardiARC Zone on the 17th September 12.00 - 15.00 in the new Advanced Research Centre at the University of Glasgow.(ARC). We ran some fun competitions to test knowledge of the heart. Our Virtual Reality (VR) tours of the heart in the ARC's VR suite proved very popular and we we were sold out; full report....
  • 19 Aug

    Award for Yangkun Du

    Well done to Yangkun Du, a SofTMech^MP Research Associate who has received an award for an outstanding PhD from the 6th Chinese Society of Mechanics. One of 5 awarded in China in mechanical disciplines over a 2 year period
  • 15 Jun

    British Heart Foundation Award

    A team of researchers from the SofTMech Centre has been awarded a three-year British Heart Foundation project grant on “A modelling study of right ventricular function in repaired tetralogy of fallot for predicting outcome and impact of pulmonary valve replacement” read more ......
  • 23 May

    Cardiac Imaging in SARS Coronavirus disease-19 (CISCO-19) published in Nature

    Cardiac Imaging in SARS Coronavirus disease-19 (CISCO-19) published in Nature. The project was awarded £47,940 in the Chief Scientist Office Rapid Research in Covid-19 (RARC-19) funding call to lead a project to investigate Cardiac Imaging in SARS Coronavirus disease-19 (CISCO-19) read more .........
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Biomedical students at work in a lab

Working with us

 

 

Engineering students in discussion during a lab experiment

Training the Leaders of Tomorrow

fluorescently tagged neural crest cells migrate through the tissues of a zebra fish embryo. The nuclei of the cells appear red; their membranes are green.

Cell Focus

Blackboard with equations

SofTMech^SET

Optimizing Cardio-Mechanic Models for Diagnosis and Treatment of Heart Disease Optimizing Cardio-Mechanic Models for Diagnosis and Treatment of Heart Disease

Optimizing Cardio-Mechanic Models for Diagnosis and Treatment of Heart Disease

two researchers in lab

SofTMech^MP

Related Grants

  • Growth and Remodelling in the Porcine Heart

 

TACKLING COVID-19

  • 23 May

    Cardiac Imaging in SARS Coronavirus disease-19 (CISCO-19) published in Nature

    Cardiac Imaging in SARS Coronavirus disease-19 (CISCO-19) published in Nature. The project was awarded £47,940 in the Chief Scientist Office Rapid Research in Covid-19 (RARC-19) funding call to lead a project to investigate Cardiac Imaging in SARS Coronavirus disease-19 (CISCO-19) read more .........
  • 12 Oct

    IAA COVID Project Award for Xiaoyu Luo

    Xiaoyu Luo has been successful in the recent EPSRC Impact Acceleration Account (IAA) managed by College of Science and Engineering (IAA call) with the project "Cardiac endotypes in COVID-19: quantification and mechanisms of cardiac injury". The project team is Xiaoyu Luo, Colin Berry, Kenneth Magnion, Nick Hill, Dirk Husmeier, Hao Gao and Scott Richardson.
  • 08 Jul

    BHF-NIHR partnership set to fast-track coronavirus research

    BHF have joined forces with the National Institute of Health research (NIHR) to launch a nationwide research initiative to better understand why people with heart and circulatory diseases are at higher risk and often suffer more severely with coronavirus (Covid-19) see more
Full COVID-19 listings