Which disease modifying therapy (DMT) is best for an individual?
Lead researcher: Professor Olga Ciccarelli
Based at: University College London
MS Society funding: £355,293
About the project
There are now a dozen different disease modifying therapies (DMTs) for relapsing forms of MS. But although most people with relapsing MS can benefit from them, no single treatment is right for everybody.
Olga’s team will develop an algorithm to predict which DMT will work best for an individual person. Using information from people on their lifestyle, genes and medical records, they'll train a computer to use mathematical models to predict whether a person’s MS will respond to a particular DMT.
In the study, participants will still take the treatment that is recommended to them by their MS specialist, as well as filling in a questionnaire and providing a blood sample. Predictions made by the model will be tested by comparing the outcomes for other people with MS living in the UK, Sweden and Australia.
How will it help people with MS?
We know that people with MS respond to treatments differently. This is a crucial step towards “personalised medicine”, which means we'll be able to prescribe the right medication for the right person at the right time.
The difference you can makeWe want everyone with MS to have access to the treatments they need to live well with MS. With your help, we can continue to support vital research like this.
The next research breakthrough is in reach
Your donation will help stop MS.
£30could process one blood sample, giving researchers crucial information about genes and the immune system.
£50could pay for an hour on a microscope, so scientists can study cells and tissue in greater detail and improve their understanding of the biology of MS.
£100could pay for half an hour of MRI use, so researchers can monitor the success of clinical trials and understand MS in more detail.
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£10a month could pay for lab equipment like microscope slides to study the building blocks of MS
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£30a month could process a blood sample to help us understand what causes MS, so we can stop it in its tracks
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