Further research

Bio-Informatics

In partnership with the Univerity of Manchester, Centre for Health Informatics [formerly the North West Institute for Bio-Health Informatics (NIBHI)], and our industrial collaborators at Microsoft Research Cambridge we are developing analytical techniques which can take full advantage of our data-intensive environment (e.g. machine learning approach using Bayesian inference to identify substructure within a dataset and precisely define patient phenotypes).

These are essential to better understand complex disease mechanisms and developed stratified personalised medicines.

Cystic Fibrosis

We are developing new methods to assess lung clearance, which provides measures of early disease through an NIHR Clinician Scientist Award. This allows assessment of clinical response to target exciting new CF Treatments.