Artificial intelligence (AI) and machine learning, in particular, have gained significant interest
in many fields, including pharmaceutical sciences. The enormous growth of data from …

Artificial Intelligence (AI) focuses in producing intelligent modelling, which helps in
imagining knowledge, cracking problems and decision making. Recently, AI plays an …

This work proposes the application of artificial neural networks (ANN) to non-destructively
predict the in vitro dissolution of pharmaceutical tablets from Process Analytical Technology …

Fused deposition modelling (FDM) is one of most popular 3D printing techniques of
thermoplastic polymers. Nonetheless, the poor mechanical strength of FDM parts restricts …

We hypothesize that, by using several chemo/bio informatics tools and statistical
computational methods, we can study and then predict the behavior of several drugs in …

In this study, synthetic polymeric particles were effectively fabricated by combining modern
technologies of artificial intelligence (AI) and microfluidics. Because size uniformity is a key …

The pharmaceutical industry has never seen such a vast development in process analytical
methods as in the last decade. The application of near-infrared (NIR) and Raman …

The tablet manufacturing process is a complex system, especially in continuous
manufacturing (CM). It includes multiple unit operations, such as mixing, granulation, and …

In vitro-in vivo correlation is the establishment of a predictive relationship between in vitro
and in vivo data. In the context of cascade impactor results of orally inhaled pharmaceutical …

Motivation Polypharmacy side effects should be carefully considered for new drug
development. However, considering all the complex drug–drug interactions that cause …