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

 

 

Engineering students in discussion while working on machinery

Training the Leaders of Tomorrow

Logo of Politecnico del Milano

Soft Tissue Workshop 11-13 June 2025

  • Regsitration will be available soon 

Newsround

  • 14 Nov

    Runner Up for Liuyang Abstract Scottish Right Heart Symposium

    Congratulations to Dr Liuyang Feng on a runners' up prize for the Best Abstract at the Scottish Right Heart Symposium on 10 November for his talk on 'Whole hearted modelling with valves in a fluid-structure interaction framework'.
  • 12 Oct

    Digital Twin of the bladder

    Back in 2017 SofTMech awarded funding for a short feasibility study led by Dr Paul Watton of the University of Sheffield and Anne Robertson of the University of Pittsburgh, 6 years on the partnership between the the two Universities continues and has been awarded a 3.2 million National Institute of Research R01 grant to create a digital twin of the bladder - " A Digital Twin for Designing Bladder Treatment informed by Bladder Outlet Obstruction Mechanobiology (BOOM)" Full story ....
  • 06 Feb

    Liuyang's Journey

    At the end of 2023 we said goodbye to Liuyang Feng. Liuyang started his journey as a PhD student in 2015 working on computational modelling of the mitral valve. He then became a Research Associate with SofTMech from 2019 until 2023 during which time he developed one of the first whole heart FSI models with all valves in the field. We will all miss him and wish him good luck in his new post as a Scientific Software Development Engineer.
Full Newsround listings
Student at work taking notes in a lab

Working with us

 

 

two researchers in lab

SofTMech^MP

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

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

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

Soft Tissue Workshop 7-9 June 2023

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