Research projects

Our projects span early stage studies such as first in human and feasibility studies to developing new research methodologies and tools. Take a look at all our projects across all our research themes and workstreams.

Identifying different types of nephrotic syndrome using blood cell DNA

Nephrotic syndrome is a kidney condition that causes large amounts of protein to leak…

Theme Translational data science

Workstream Omics for prediction and prognosis

Psychological factors affecting eating after exercise: A scoping review

The aim of this project was to explore how we can help people reduce their…

Theme Diet and physical activity

Workstream Population diet and physical activity

Changing eating patterns in response to exercise

Regular exercise and a healthy balanced diet are key to managing weight. However,…

Theme Diet and physical activity

Workstream Population diet and physical activity

What do young people understand about synthetic cannabinoids in vapes?

Synthetic cannabinoids (SCs), sometimes known as spice or K2, are illegal substances made in a…

Theme Mental health

Workstream Psychological interventions

How do inflammation and asbestos exposure interact in developing pleural mesothelioma?

Pleural mesothelioma (PM) is a cancer of the lining of the lung caused by…

Theme Respiratory disease

Workstream Omics for prediction and prognosis

Exploring inflammation as a driver for post-operative complications

One in seven patients develop a serious medical problem after surgery. These types of complications…

Theme Translational data science

Workstream Omics for prediction and prognosis

The Mother Nature Project

Developing and testing a nature-based intervention for mothers with postnatal depression

Theme Mental health

Workstream Psychological interventions

Developing a core outcome set for periprosthetic femoral fractures

A femoral fracture is a serious complication that can affect some people after they have…

Theme Surgical and orthopaedic innovation

Workstream Interventions to improve patient outcomes after surgery

Guidelines for using multiple imputation without bias in studies

In health research, it’s common to have missing information in study data, especially in large…

Theme Translational data science

Workstream Large, complex datasets