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Biopharmaceutical Informatics: Learning to Discover Developable Biotherapeutics

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Biopharmaceutical Informatics: Learning to Discover Developable Biotherapeutics

"Biopharmaceutical Informatics is a strategic vision that encourages scientists to learn from our collective experiences of successes and, more importantly, failures in discovery and development of biotherapeutics. The insights gained from such learnings shall help us improve rate of successful translation of discoveries into drug products; reduce costs and increase the speed of biologic drug discovery and development. Hopefully, the efficiencies gained from implementing such insights shall make biologic medicines more affordable for the patients. This unique volume describes ways to invent and commercialize biomedicines in a more time and cost-efficient manner. Details the use of bioinformatics tools in fields such as excipient design, formulation design, process development and PK-PD. Describes applications of artificial Intelligence and machine learning towards antibody discovery, development, and manufacturing. Presents PK/PD and Quantitative Systems Pharmacology (QSP) models for biopharmaceuticals. The lead editor, Dr Sandeep Kumar, has edited a collection of articles dedicated to this topic which can be found in the Taylor and Francis journal mAbs"--

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