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solid theoretical foundation. This pillar seeks to answer the "why" behind deep learning's effectiveness and to guide the development of future algorithms through rigorous mathematical analysis. We
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, Drug Delivery, AI-driven Drug Discovery Molecularly Targeted Drugs, Biopharmaceuticals (e.g., nucleic acid, cell-based, and protein-based drugs) Bioinformatics, Omics Analysis, Molecular Imaging
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), Library Information and Archives Management (Intelligence, Public Opinion Analysis, Big Data Processing), History (Agricultural History, Forest History, History of Science and Technology) Design (Graphic
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