Transition state analysis to guide drug discovery

Professor Mark Wheatley and collaborators from Aston University, Dr John Simms and Professor David Poyner, have been awarded a grant of £177,497 from the BBSRC Follow-on Fund to develop new technology that will potentially revolutionise the drug discovery process.


Great expectations: a predictive processing account of human balance control

This research considers ways we can deliberately “manipulate” our predictive brains by using various interventions to modify our beliefs/expectations about an important perceptual-motor skills.


PostUraL tachycardia Syndrome Exercise (PulSE) study

A lifestyle intervention designed by people with POTS, for people with POTS.


InoCardia: Delivering Improved Cardiac Safety Liabilities for Therapeutic Drugs Using the Contractome-AI

The commercialisation of Professor Maddock's academic research started with a vision that there was a fundamental need within the Pharmaceutical Industry for the development of improved physiological relevant model to assess cardiac contractility.


Cytokine and growth factor mediated regulation of cell polarity in liver regeneration and fibrosis

Dr Christopher Mee's project looking at the ability of the liver to fully regenerate after injury.


Investigating GPCR:RAMP interactions using nanobodies

Professor Mark Wheatley and collaborators have been awarded a grant from the BBSRC to investigate the G-protein-coupled receptor (GPCR) family of proteins.


6-0! Promoting health through recreational football

This project focused on enhancing physical activity with aging people through recreational football activities.


Clinical Academic Research Development (CARD)

The main focus of CARD is to support allied health professionals working in the NHS undertake translational research, particularly in the field of nursing.


Concentration or composition that is the question! How do exogenous fatty acids contribute to changes in metabolic flexibility of skeletal muscle?

Using Real-Time Cell Metabolic Analysis to establish how physiological and pathophysiological concentrations of FA impact mitochondrial function, capacity and substrate utilisation in human skeletal muscle cells.


The MyWay Project

A randomised controlled feasibility trial of a tailored digital behaviour change intervention with e-referral system to increase attendance at NHS Stop Smoking Services


Development of a uterine electrohysterogram system to predict preterm labor

Preterm labor which occurs in ~10% of pregnant women is a leading cause of neonatal mortality and morbidity. However, unsatisfactory and inaccurate diagnosis of preterm labor is an immense clinical challenge to the obstetricians.


Inkjet-printed respiratory rate wearable sensors for infants: Towards remote monitoring for low-setting villages and refugee camp

The monitoring of infants respiratory rate can contribute to the identification of several health problems and life threats. However, it is still the least documented and monitored parameter due to the shortage in advanced and user-friendly monitoring sensors/systems.


Religious Health Interventions in Behavioural Sciences (RHIBS)

Investigators aim to create a foundational, shared language for researchers and practitioners to rigorously develop and evaluate religiously integrated health interventions.


ifeed: User-centred development of an online and mobile phone intervention to support infant feeding choice and confidence to sustain breastfeeding and/or safe formula feeding

ifeed was launched in August 2018 to coincide with World Breastfeeding week. In the first week it had 800 views and was shared by organisations supporting mothers and babies across the UK and globally.


Digital peer-supported and peer-led self-management of mental and sexual wellbeing for people with acquired brain injury (HOPE4ABI): a feasibility randomised controlled trial

ABI can cause a range of problems across multiple areas of health and wellbeing - including relationship and intimacy issues. 


Intelligent prediction of preterm birth using AI-empowered electrohysterography sensing

NIHR funded project aiming to develop an AI solution to predict preterm birth.


Inkjet-printed Respiratory Rate Wearable Sensors for Infants: Towards Remote Monitoring Solutions for Low-setting Villages and Refugee Camps

There is an increasing need for remote, low-cost, reliable and comfortable respiratory rate  that provide physicians with accurate newborn readings.


Multistatic RADAR Sensing for Activity Monitoring of Daily Living Simultaneously in Multiple Subjects

The primary aim of this project is to develop and evaluate a multistatic (multiple RADAR sensor nodes) RADAR sensing system to monitor the ADL [Activities of Daily Living] including but not limited to walking, sitting down, standing up, eating, lying on bed and picking up objects in multiple older adults simultaneously using machine learning algorithms. Specifically, the aim is to capture critical events such as falls and wandering behaviour.


Influences on and Impact of Mathematical Resilience in Year 1 Children

Coventry University research project on mathematical resilience in Year 1 children. Aims to develop a scale & interventions to improve performance, study links with performance & parental involvement.


Design and evaluation of peat-free blocking media

The production of field vegetables and salad crops is highly dependent on transplanted seedlings that are grown in media often containing peat.