Uncertainty quantification and sensitivity analysis for in silico trial platform: a preliminary application on UISS-MS

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.