Scientists have discovered two new subtypes of Only registered and activated users can see links., Click Here To Register... with the aid of artificial intelligence, paving the way for personalised treatments and better outcomes for patients.
Millions of people have the disease globally – but treatments are mostly selected on the basis of symptoms, and may not be effective because they don’t target the underlying biology of the patient.
Now, scientists have detected two new biological strands of MS using AI, a simple blood test and MRI scans. Experts said the “exciting” breakthrough could revolutionise treatment of the disease worldwide.
In research involving 600 patients, led by University College London (UCL) and Queen Square Analytics, researchers looked at blood levels of a special protein called serum neurofilament light chain (sNfL). The protein can help indicate levels of nerve cell damage and signal how active the disease is.
The sNfL results and scans of the patients’ brains were interpreted by a machine learning model, called SuStaIn. The results, Only registered and activated users can see links., Click Here To Register..., revealed two distinct types of MS: early sNfL and late sNfL.
In the first subtype, patients had high levels of sNfL early on in the disease, with visible damage in a part of the brain called the corpus callosum. They also developed brain lesions quickly. This type appears to be more aggressive and active, scientists said.
In the second subtype, patients showed brain shrinkage in areas like the limbic cortex and deep grey matter before sNfL levels went up. This type seems to be slower, with overt damage occurring later.
Only registered and activated users can see links., Click Here To Register...
Millions of people have the disease globally – but treatments are mostly selected on the basis of symptoms, and may not be effective because they don’t target the underlying biology of the patient.
Now, scientists have detected two new biological strands of MS using AI, a simple blood test and MRI scans. Experts said the “exciting” breakthrough could revolutionise treatment of the disease worldwide.
In research involving 600 patients, led by University College London (UCL) and Queen Square Analytics, researchers looked at blood levels of a special protein called serum neurofilament light chain (sNfL). The protein can help indicate levels of nerve cell damage and signal how active the disease is.
The sNfL results and scans of the patients’ brains were interpreted by a machine learning model, called SuStaIn. The results, Only registered and activated users can see links., Click Here To Register..., revealed two distinct types of MS: early sNfL and late sNfL.
In the first subtype, patients had high levels of sNfL early on in the disease, with visible damage in a part of the brain called the corpus callosum. They also developed brain lesions quickly. This type appears to be more aggressive and active, scientists said.
In the second subtype, patients showed brain shrinkage in areas like the limbic cortex and deep grey matter before sNfL levels went up. This type seems to be slower, with overt damage occurring later.
Only registered and activated users can see links., Click Here To Register...
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