Bayesian forecasting offers several important advantages for dosage in
dividualisation in children, although, unlike for adults, its use in t
his population is much lower. Indeed, currently Bayesian methods are u
nderused in this patient population. The paucity of paediatric populat
ion pharmacokinetic parameters, and the unavailability of specific cli
nical pharmacokinetic software for the whole paediatric population, ar
e the main limitations to the application of Bayesian methods in these
patients. When these problems have been overcome, this approach will
allow clinicians to achieve therapeutic concentrations more readily, f
aster and more precisely, thus making the methodology highly attractiv
e in the paediatric setting.