Omics for prediction and prognosis
Using molecular data to predict who will get a disease and how it will progress
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.
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
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
Using blood proteins to predict complications after heart surgery
When people have heart surgery, some develop serious complications afterwards. Two of the most common…
- Theme Translational data science
- Workstream Omics for prediction and prognosis
Can we use DNA methylation to predict disease in diverse populations?
DNA methylation is a process during which methyl groups become attached to parts of our…
- Theme Translational data science
- Workstream Omics for prediction and prognosis
Biomarkers for screening and diagnosing lung cancer
In the UK, only 15 per cent of people diagnosed with lung cancer will still…
- Theme Translational data science
- Workstream Omics for prediction and prognosis
Using biomarkers and machine learning to predict antidepressant resistance
Around half of patients with depression don’t improve after taking antidepressants. Clinicians need to…
- Theme Translational data science
- Workstream Omics for prediction and prognosis
Can DNA methylation biomarkers predict whether pleural effusion is caused by cancer?
Pleural effusion, where fluid builds up in the cavity around the lungs, can develop…
- Theme Translational data science
- Workstream Omics for prediction and prognosis
Using DNA methylation biomarkers to understand Parkinson’s disease severity and progression
The Biogen Tel Aviv Parkinson Project (BeatPD) looks in-depth at clinical and genetic information…
- Theme Translational data science
- Workstream Omics for prediction and prognosis