Multiple sclerosis is an autoimmune inflammatory disease of the central nervous system with a relapsing or progressive course, potentially leading to severe disability. In this manuscript, a well-known sensitivity analysis technique, Latin Hypercube Sampling along with Partial Rank Correlation Coefficient, was applied to an Agent-Based Model in silico trial used in Multiple Sclerosis context to evaluate the correlation of vitamin D dosage with the number of oligodendrocytes and the thymus efficiency with regulatory T cells.
Uncertainty quantification and sensitivity analysis for in silico trial platform: A preliminary application on UISS-MS
Maleki A.;Russo G.;Pappalardo F.
2021-01-01
Abstract
Multiple sclerosis is an autoimmune inflammatory disease of the central nervous system with a relapsing or progressive course, potentially leading to severe disability. In this manuscript, a well-known sensitivity analysis technique, Latin Hypercube Sampling along with Partial Rank Correlation Coefficient, was applied to an Agent-Based Model in silico trial used in Multiple Sclerosis context to evaluate the correlation of vitamin D dosage with the number of oligodendrocytes and the thymus efficiency with regulatory T cells.File in questo prodotto:
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