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An artificial neural network (ANN) is a computational framework modeled after the structure and function of biological neural networks. It consists of layers of interconnected nodes (artificial neurons) that process data through weighted connections and activation functions, enabling complex pattern recognition, prediction, and classification tasks. ANNs are integral to deep learning and have revolutionized fields such as image analysis, natural language processing, and biomedical data mining. However, they are not molecules, proteins, receptors, or biological therapeutic targets, and their designation as a "target molecule/receptor" is incorrect in the context of pharmacology or molecular biology
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