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Crafting Personalized drugs through Bioinformatics Modeling
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This book presents a comprehensive and interdisciplinary exploration of modern drug discovery through the lens of bioinformatics, artificial intelligence, and genome engineering. It highlights how the integration of multi-omics data, computational modeling, and advanced analytical tools is transforming the development of personalized therapeutics. By bridging fundamental concepts with cutting-edge technologies such as machine learning and CRISPR-Cas systems, the book provides a systematic framework for target identification, molecular design, and prediction of drug efficacy and safety. Emphasizing precision medicine, it addresses both the scientific opportunities and the practical challenges in translating computational insights into clinical applications, offering valuable perspectives for researchers, students, and professionals in biotechnology and biomedical sciences.
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