Pharmaceutical product development is a challenging, time-consuming, and cost-intensive
process. Computational methods could be used for assistance and speed up the industrial …

The objective of this study was to create universal methodology of artificial neural networks
(ANNs) application in construction of decision support systems designed for various dosage …

During the development of a pharmaceutical formulation, a powerful tool is needed to extract
the key points from the complicated process parameters and material attributes. Artificial …

The application of ANN in pharmaceutical development has been assessed using
theoretical as well as typical pharmaceutical technology examples. The aim was to …

ABSTRACT Artificial Neural Network (ANN) is a new field and a machine learning method
based on artificial intelligence (AI) which has recently been utilized to optimize …

The pharmaceutical formulation process is highly specialized and requires specific domain
knowledge and often years of experience. Neural computing, machine learning, knowledge …

ABSTRACT Artificial Neural Network (ANN) technology is a group of computer designed
algorithms for simulating neurological processing to process information and produce …

The properties of a formulation are determined not only by the ratios in which the ingredients
are combined but also by the processing conditions. Although the relationships between the …

The aim of the study was to create simple, neural model of ketoprofen (Ket) dissolution from
solid dispersions (SD) and physical mixtures (PM), which could be an aid in prospective …

Purpose The purpose of this study was to evaluate the efficiency of a neuro-fuzzy logic-
based methodology to model poorly soluble drug formulations and predict the development …