REVIEW: IDENTIFYING PATIENT SUBTYPES IN MULTIPLE SCLEROSIS AND TAILORING IMMUNOTHERAPY: CHALLENGES FOR THE FUTURE

Review: Identifying patient subtypes in multiple sclerosis and tailoring immunotherapy: challenges for the future

The accelerating pace of technological and analytical development in the fields of genetic and phenotypic profiling has ushered in an era of great promise for multiple sclerosis (MS) research.As we continue to identify Cushion modest but meaningful associations to MS susceptibility, disease course, treatment response, and other clinical or paraclin

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Social robots in advanced dementia

Aims: Testing the effect of the experimental robot-based therapeutic sessions for patients with dementia in: a controlled study of parallel groups of nursing home patients comparing the effects of therapy sessions utilizing a humanoid robot (NAO), an animal-shaped robot (PARO), or a trained dog (DOG), with conventional therapy (CONTROL) on symptoms

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Using visible and NIR hyperspectral imaging and machine learning for nondestructive detection of nutrient contents in sorghum

Abstract Nondestructive, rapid, and accurate detection of nutritional compositions in sorghum is crucial for agricultural and food industries.In our study, the crude protein, tannin, and crude fat contents of sorghum variety samples were taken as the research object.The visible near-infrared Soft Doll (VIS-NIR) hyperspectral of sorghum were measure

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