Pellets are spherical shaped multiparticulate drug delivery systems with size ranging between 0.5-2.0 mm. Free flow, good mechanical properties, improved physical and chemical properties of powder, and stability are some advantages of pellets. Mucoadhesive pellets could be developed
by using appropriate concentration and type of mucoadhesive polymer. Mucoadhesive pellets can be used for delivery of drugs to gastric, colonic, and vaginal regions. Immediate release, sustained/controlled release and implantable delivery could be incorporated using mucoadhesive pellets. Reproducibility,
ease of scalability, quality control checks and significant mechanical strength are some advantages making pellets widely acceptable by pharmaceutical industry. In the present review, mucoadhesion process and theories, mucoadhesive polymers, pelletization process, evaluation of pellets and
reported research/patents on mucoadhesive pellets for delivery of different categories of drugs have been presented.
Pharmaceutical product development is a challenging, time-consuming, and cost-intensive process. Computational methods could be used for assistance and speed up the industrial process. Artificial neural networks (ANN) and neuro-fuzzy models are tools of artificial intelligence that can be used to develop pharmaceutical products to enhance productivity, quality, and consistency. In the present review, the working principle of ANN and neuro-fuzzy models has been discussed, elaborating on their different types, advantages, and disadvantages. Furthermore, the application of these computational techniques in developing pharmaceutical products like suspension, emulsion, microemulsion, nanocarriers, tablets, transdermal preparations, etc., has been discussed in detail.
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