Artificial neural networks (ANNs) technology models the pattern recognition capabilities of the neural
networks of the brain. Similarly to a single neuron in the brain, artificial neuron unit receives inputs from many external
sources, processes them, and makes decisions. Interestingly, ANN simulates the biological nervous system and draws on
analogues of adaptive biological neurons. ANNs do not require rigidly structured experimental designs and can map
functions using historical or incomplete data, which makes them a powerful tool for simulation of various non-linear
systems.ANNs have many applications in various fields, including engineering, psychology, medicinal chemistry and
pharmaceutical research. Because of their capacity for making predictions, pattern recognition, and modeling, ANNs have
been very useful in many aspects of pharmaceutical research including modeling of the brain neural network, analytical
data analysis, drug modeling, protein structure and function, dosage optimization and manufacturing, pharmacokinetics
and pharmacodynamics modeling, and in vitro in vivo correlations. This review discusses the applications of ANNs in
drug delivery and pharmacological research.
Uncertainty Due to Infectious Diseases and Stock–Bond Correlation
