Traditionally, drug administration scheduling is – at best – designed using average population data such as PK/PD profiles. This common practice yields suboptimal therapies and does not consider the distinct attributes of the patients treating them as a bulk. Outliers of the general distribution are likely to exhibit adverse effects due to violation of toxicity constraints or fail to retain the therapeutic levels. The lack of any feedback contributes even more to the probability of something going wrong. Nowadays, the grounds have shifted and the need for accuracy and efficiency calls for closed-loop practices introducing thus automatic control into the field. Computer-aided drug administration will provide an optimal solution to the problem, with the guarantee that all safety requirements are fulfilled.
