Development of in silico prediction technique for pharmaceutical design and optimization

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A nonlinear response surface method incorporating thin-plate spline interpolation (RSM-S) was developed and applied to the designing a sustained release matrix tablet formulation. A bootstrap (BS) resampling method was employed to estimate confidence intervals of the optimal solution. As a result, the matrix tablet formulation with a constant release rate of the active ingredient for a long period was successfully optimized using RSM-S and the confidence interval of the optimal solution was adequately evaluated using BS.