US EditionMajor Multiple Sclerosis Update Issued that Could Lead to New Treatments
AI analysis of brain scans and serum neurofilament light chain in 634 MS patients revealed two distinct biological subtypes, potentially enabling more personalized treatments.
- Using routine brain scans and sNfL measurements, researchers at University College London and Queen Square Analytics identified two biologically informed MS sub-types in 634 people, highlighting potential for personalized treatments.
- Symptom-Based categories for multiple sclerosis often fail to reflect underlying biology, and clinical labels of multiple sclerosis rely on symptoms rather than biology, complicating care for people with MS.
- The study found the early-sNfL subtype, with elevated sNfL and corpus callosum harm, and the late-sNfL subtype, with delayed sNfL rise and early cortical and deep grey matter volume loss.
- Researchers added that the two new sub-types could enable targeted monitoring and treatments, with Dr Arman Eshaghi noting, `The more we learn about the condition, the more likely we will be able to find treatments that can stop disease progression`.
- In the near future, Caitlin Astbury, senior research communications manager at the MS Society, said machine learning combining MRI and biomarker data may redefine MS types and treatment.
11 Articles
11 Articles
There are two types of multiple sclerosis, a new international study suggests. The discovery, made with the help of artificial intelligence, could lead to more precise and appropriate treatments for patients in the future.
An international research team has identified two new biological subtypes of multiple sclerosis, which could have major implications for new treatments.
The research, led by scientists from University College London (UCL) in collaboration with Queen Square Analytics, analyzed data from 600 per cent of the...
Daily Post
Major multiple sclerosis update issued - may lead to new treatments
Researchers say the more they find out, the more likely 'we will be able to find treatments that can stop disease progression'
Two new subtypes of multiple sclerosis (MS) have been identified by researchers in the UK, a discovery that could pave the way for more targeted and effective treatment approaches. Researchers from Queen Square Analytics and University College London analysed data from 634 patients with multiple sclerosis, identifying two “biologically substantiated subtypes of the disease”. The research team used artificial intelligence (AI) to analyse brain sc…
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