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This chapter presents a compelling exploration of how machine learning is redefining pharmacological target identification, transforming it into a rapid, precise, and insight-driven scientific endeavor. It highlights the power of advanced algorithms from deep learning to graph neural networks in decoding complex biolog...
Artificial intelligence is rapidly transforming drug discovery and pharmacology by enabling data-driven, predictive, and system-level approaches across the drug development lifecycle. This chapter provides a comprehensive overview of how machine learning, deep learning, graph neural networks, and generative AI are appl...
Generative artificial intelligence is redefining marketing communication by extending the discipline beyond human-driven creativity into a data-supported, emotionally responsive, and context-aware domain. Unlike traditional AI focused on automation and analytics, generative AI enables personalized content creation, imm...
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