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Biomedical Engineering Research

Investigation of the role of antibodies in kidney transplantation


Dr Khovanova leads antibody incompatible kidney transplantation research, supported by EPSRC, in collaboration with

Prof Rob Higgins (Director, Antibody Incompatible Renal Transplant Programme at University Hospitals Coventry and Warwickshire - UHCW, and Honorary Professor at Warwick Medical School)

Prof David Briggs (Director, Histocomaptibility Laboratory at NHS Blood and Transplant, Birmingham)

This multidisciplinary research is unique as antibody incompatible transplantation (AIT) was pioneered in the UK, and UHCW is the largest centre for AIT in Europe. Antibody level monitoring in Prof D Brigg's laboratory comprises the only programme anywhere in the world thus providing necessary dynamic data to develop and validate new modelling methodologies [article 6]. 

Diabetes: study of variability of non-stationary subcutaneous glucose profiles in people with diabetes. Personalised approaches to blood glucose variations modelling.

We develop new data processing techniques to tackle the issue of non-stationarity of glucose profiles in people with type 1 and type 2 diabetes in collaboration with Dr Tim Holt (Clinical lecturer at Oxford University and General Practitioner). We also consider stability and predictability of glucose dynamics with respect to the actions of various external stumuli. Application: personalised control of glucose dynamics in people with diabetes. Research is in collaboartion with

Dr Tim Holt (Oxford University, Nuffield Department of Primary health care Sciences)

Prof Sudhesh Kumar (Warwick Medical School)

Dr Thomas Barber (Warwick Medical School)

Dr John Hattersley (University Hospitals Coventry and Warwickshire)

Machine learning in Tissue Engineering

We develop new artificial neural network (ANN) applications to multidimentional modelling of bioscaffolds for trabecular hard tissue augmentation. This cross disciplinary research was established in collaboration with Dr K Mallick (Assosiate Professor, Warwick Manufacturing Group). The research aims to use machine learning techniques to model, predict and address tissue engineering related problems faced by healthcare professionals.

Identifying risks of diabetes using artificial neural networks

This research is carried out in collaboration with Dr Tim Holt (PI) and application includes new non-invasive techniques for addressing clinical problems of early diabetes diagnostics. Supported by the National Institute for Health Research.

Current research projects

N Khovanova (PI): Novel approach to clinical data analysis: application to kidney transplantation (2013-2015).

Supported by EPSRC


T Shaikhina (PhD project): Artificial Neural network modelling of physical properties and cellular interactions for bone tissue engineering (2013-2017)

Supported by Warwick University Chancellor's Scholaship

N Khovanova (Co-I): Identifying the risk of diabetes using an artificial neural network applied to primary care data (2013 – 2014), Supported by National Institute for Health Research. In collaboration with Dr Tim Holt (PI), Oxford University.