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- W2980983669 abstract "Artificial intelligence, particularly in the form of neural networks, presents an exciting and revolutionary approach to solving some of the common but complex problems encountered in the pre-formulation and development stages of a pharmaceutical formulation. Artificial neural networks (ANN) are digitized models of a human brain, computer programs designed to simulate the way in which human brain processes information. The pharmaceutical product development process is a multivariate optimization problem. It involves the optimization of formulation and process variables. These relationships are difficult to model using classical methods. ANN represents a promising modeling technique especially for data sets having the kind of non-linear relationships, which are frequently encountered in pharmaceutical processes. The application of ANN is proved to be useful in design and development of new drug formulations, drug stability, process optimization, dissolution testing and development of in in vitro-in vivo correlation. Newly introduced products can be quickly assessed for their suitability, lowering the risk of failure when undertaking potentially costly trials." @default.
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- W2980983669 date "2007-01-01" @default.
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- W2980983669 title "Usefulness of artificial neural networks in pharmaceutical product development" @default.
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