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Abstract

MS is a severe neurological disorder with varying impacts on each person. This autoimmune disease attacks myelin sheath of neurons in the central nervous system which includes brain and spinal cord. As a result, the neuron becomes inflamed or scarred making it difficult for the neuron to transmit information quickly and readily. The damaged and scarred tissue of a neuron is called as MS lesion. Although scientists do not yet fully understand the origin of MS, a mix of environmental and genetic variables is thought to be responsible. Amongst people suffering with MS, 85% suffer with relapsing–remitting MS and 10 to 15% suffer with progressive MS. Studies have revealed that Epstein-Barr virus (EBV) exposure raises the risk of RRMS. This review gives an indepth idea about MS. Presented are the topics of symptoms associated with MS, tools used to detect MS, commonly used algorithms for diagnosis and prediction of MS, prominent and recent approaches. About 2.5 million people have MS globally. Some of the most common misconceptions about the disease are that it's contagious (it's not), it's fatal (also untrue) and that MS affects mostly white people (the disease is just as prevalent amongst Black people). RRMS is three times more prevalent in women, whereas PPMS rate is alike in both men and women. One can visualise MS effectively by MRI. There are distinct patterns between lesions and healthy tissue. Outlining these patterns manually or automatically is called segmentation. Segmentation is crucial at every stage of MS, including during diagnosis, disease progression, and therapy effectiveness. Presently, there is no cure for MS. So retrieve and harvest of stem cells is done. Immunosuppression like chemotherapy and stem cell transplantation is done. MS is a complex and devastating disease that will take years to fully comprehend. A person will have a disorder related to the location of the scar or inflammation, such as tremor, dysarthria, ataxia, and cognitive problems if the scar is in the cerebellar area. As a result, each case is nearly unique.

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Correspondence to Kavita Goura .

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Goura, K., Harsoor, A. (2023). A Systematic Review on Multiple Sclerosis. In: Kumar, A., Ghinea, G., Merugu, S. (eds) Proceedings of the 2nd International Conference on Cognitive and Intelligent Computing. ICCIC 2022. Cognitive Science and Technology. Springer, Singapore. https://doi.org/10.1007/978-981-99-2746-3_67

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