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This monograph provides an overview of general deep learning methodology and its applications to a variety of signal and information processing tasks. The application areas are chosen with the following three criteria in mind: (1) expertise or knowledge of the authors; (2) the application areas that have already been transformed by the successful use of deep learning technology, such as speech recognition and computer vision; and (3) the application areas that have the potential to be impacted significantly by deep learning and that have been experiencing research growth, including natural language and text processing, information retrieval, and multimodal information processing empowered by multi-task deep learning.
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The formulation and the technological advancements in RNA biology, chemistry, stability, and encapsulated delivery systems that have enabled the development of fully synthetic mRNA vaccines are discussed in this volume. The applications of the mRNA technology is covered, focusing on infectious diseases but also touching on other indications, such as immunotherapies and molecular therapies. Potent and long-lasting immune responses observed in animal models, encouraging data from early human clinical studies, together with the success of two mRNA-based COVID-19 vaccines support the use of mRNA-based vaccination as an attractive alternative to conventional vaccine approaches. Consequently, the ...
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