Omics for prediction and prognosis

Using molecular data to predict who will get a disease and how it will progress

In this workstream we use large, complex molecular (‘omics’) datasets to identify biomarkers to predict who will get a disease and how it will progress.

We use machine learning to identify, optimise and validate these molecular biomarkers. We then combine them with data from health records, cohort studies and trials to develop disease prediction tools for use in a range of settings.

Our biomarker identification work will support other NIHR Bristol BRC themes, including respiratory and mental health.