Isbn: 9798903195749 - ai in pharmaceutical sciences: concepts, methods, and real-world applications (5 resultados)

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  • Idioma: Inglés

    Editorial: Notion Press, 2026

    9798903195749

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    Librería: California Books, Miami, FL, Estados Unidos de AmericaCalifornia Books

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    EUR 40,35

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    Cantidad disponible: Más de 20 disponibles

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  • Idioma: Inglés

    Editorial: Notion Press Media Pvt. Ltd, 2026

    9798903195749

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    Librería: PBShop.store US, Wood Dale, IL, Estados Unidos de AmericaPBShop.store US

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    EUR 43,75

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    PAP. Condición: New. New Book. Shipped from UK. Established seller since 2000.

  • Idioma: Inglés

    Editorial: Notion Press Media Pvt. Ltd, 2026

    9798903195749

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    Librería: PBShop.store UK, Fairford, GLOS, Reino UnidoPBShop.store UK

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    Condición: Nuevo

    EUR 38,18

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    Cantidad disponible: Más de 20 disponibles

    PAP. Condición: New. New Book. Shipped from UK. Established seller since 2000.

  • Idioma: Inglés

    Editorial: Notion Press Media Pvt. Ltd Feb 2026, 2026

    9798903195749

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    Librería: AHA-BUCH GmbH, Einbeck, AlemaniaAHA-BUCH GmbH

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    Condición: Nuevo

    EUR 86,27

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    Cantidad disponible: 2 disponibles

    Taschenbuch. Condición: Neu. Neuware - How is artificial intelligence reshaping the way medicines are discovered, developed, manufactured, and delivered Can algorithms identify safer drug candidates faster than traditional pipelines Will clinical trials become adaptive, decentralized, and data-driven by design How can AI prevent manufacturing failures, detect adverse drug reactions earlier, and secure pharmaceutical supply chains against disruption and counterfeiting In AI in Pharmaceutical Sciences: Concepts, Methods, and Real-World Applications, Exper authors present a rigorous yet accessible exploration of the technologies transforming modern pharmacy. From intelligent drug discovery and predictive toxicology to AI-optimized formulation design, smart manufacturing, regulatory automation, and precision therapeutics, this book maps the full pharmaceutical lifecycle through the lens of advanced analytics and machine learning.What does explainable AI mean for regulatory approval How can real-world data redefine pharmacovigilance In what ways will digital twins and generative models accelerate innovation while preserving quality and compliance Bridging academic foundations with industrial case studies, the authors offer clarity on concepts, methods, infrastructure, governance, and implementation strategy. Designed for students, researchers, regulatory professionals, and industry leaders, this volume equips readers to understand not only how AI works, but why it matters now.

  • Idioma: Inglés

    Editorial: Notion Press, 2026

    9798903195749

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    • Impresión bajo demanda

    Librería: CitiRetail, Stevenage, Reino UnidoCitiRetail

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    Condición: Nuevo

    EUR 42,62

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    Cantidad disponible: 1 disponibles

    Paperback. Condición: new. Paperback. How is artificial intelligence reshaping the way medicines are discovered, developed, manufactured, and delivered? Can algorithms identify safer drug candidates faster than traditional pipelines? Will clinical trials become adaptive, decentralized, and data-driven by design? How can AI prevent manufacturing failures, detect adverse drug reactions earlier, and secure pharmaceutical supply chains against disruption and counterfeiting?In AI in Pharmaceutical Sciences: Concepts, Methods, and Real-World Applications, Exper authors present a rigorous yet accessible exploration of the technologies transforming modern pharmacy. From intelligent drug discovery and predictive toxicology to AI-optimized formulation design, smart manufacturing, regulatory automation, and precision therapeutics, this book maps the full pharmaceutical lifecycle through the lens of advanced analytics and machine learning.What does explainable AI mean for regulatory approval? How can real-world data redefine pharmacovigilance? In what ways will digital twins and generative models accelerate innovation while preserving quality and compliance?Bridging academic foundations with industrial case studies, the authors offer clarity on concepts, methods, infrastructure, governance, and implementation strategy. Designed for students, researchers, regulatory professionals, and industry leaders, this volume equips readers to understand not only how AI works, but why it matters now. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.