9798902962960 - artificial intelligence in pharmaceutical sciences de rajendra kumar j; rajendra prasad r; mounika k (7 resultados)
- Tapa blanda
Librería: California Books, Miami, FL, Estados Unidos de AmericaCalifornia Books
Contactar con el vendedorVendedor de 4 estrellasCondición: Nuevo
EUR 31,65
Gastos de envío gratisSe envía dentro de Estados Unidos de AmericaCantidad disponible: Más de 20 disponibles
Condición: New.
- Tapa blanda
- Impresión bajo demanda
Librería: PBShop.store US, Wood Dale, IL, Estados Unidos de AmericaPBShop.store US
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 34,60
Gastos de envío gratisSe envía dentro de Estados Unidos de AmericaCantidad disponible: Más de 20 disponibles
PAP. Condición: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
- Tapa blanda
- Impresión bajo demanda
Librería: Grand Eagle Retail, Bensenville, IL, Estados Unidos de AmericaGrand Eagle Retail
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 35,99
Gastos de envío gratisSe envía dentro de Estados Unidos de AmericaCantidad disponible: 1 disponibles
Paperback. Condición: new. Paperback. Artificial Intelligence in Pharmaceutical SciencesArtificial Intelligence is increasingly shaping how medicines are discovered, developed, manufactured, and monitored. Yet for many students and professionals in pharmaceutical sciences, AI often appears abstract, fragmented, or disconnected f…rom real pharmaceutical practice.This book presents Artificial Intelligence as it is practically applied across the pharmaceutical lifecycle. Rather than focusing on algorithms in isolation or exaggerated claims, it explains AI as a scientific support system that assists decision-making in drug discovery, preclinical research, clinical trials, pharmacovigilance, manufacturing, quality systems, and regulatory affairs.The content progresses logically from foundational concepts to applied use cases, helping readers understand how AI interacts with biological data, experimental workflows, and regulatory frameworks. Special emphasis is placed on why AI is used, where it adds value, and how its limitations must be managed in safety-critical healthcare environments. Throughout the book, AI is positioned as a complement to pharmaceutical expertise-not a substitute for scientific judgment, ethical responsibility, or regulatory control.Written in clear and structured academic language, this book is intended for pharmacy students, researchers, educators, and industry professionals seeking a realistic and grounded understanding of AI in pharmaceutical sciences. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
- Tapa blanda
- Impresión bajo demanda
Librería: PBShop.store UK, Fairford, GLOS, Reino UnidoPBShop.store UK
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 31,39
Envío por EUR 4,82Se envía de Reino Unido a Estados Unidos de AmericaCantidad disponible: Más de 20 disponibles
PAP. Condición: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
- Tapa blanda
- Impresión bajo demanda
Librería: CitiRetail, Stevenage, Reino UnidoCitiRetail
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 35,19
Envío por EUR 42,87Se envía de Reino Unido a Estados Unidos de AmericaCantidad disponible: 1 disponibles
Paperback. Condición: new. Paperback. Artificial Intelligence in Pharmaceutical SciencesArtificial Intelligence is increasingly shaping how medicines are discovered, developed, manufactured, and monitored. Yet for many students and professionals in pharmaceutical sciences, AI often appears abstract, fragmented, or disconnected f…rom real pharmaceutical practice.This book presents Artificial Intelligence as it is practically applied across the pharmaceutical lifecycle. Rather than focusing on algorithms in isolation or exaggerated claims, it explains AI as a scientific support system that assists decision-making in drug discovery, preclinical research, clinical trials, pharmacovigilance, manufacturing, quality systems, and regulatory affairs.The content progresses logically from foundational concepts to applied use cases, helping readers understand how AI interacts with biological data, experimental workflows, and regulatory frameworks. Special emphasis is placed on why AI is used, where it adds value, and how its limitations must be managed in safety-critical healthcare environments. Throughout the book, AI is positioned as a complement to pharmaceutical expertise-not a substitute for scientific judgment, ethical responsibility, or regulatory control.Written in clear and structured academic language, this book is intended for pharmacy students, researchers, educators, and industry professionals seeking a realistic and grounded understanding of AI in pharmaceutical sciences. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
- Tapa blanda
- Impresión bajo demanda
Librería: AussieBookSeller, Truganina, VIC, AustraliaAussieBookSeller
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 48,30
Envío por EUR 32,48Se envía de Australia a Estados Unidos de AmericaCantidad disponible: 1 disponibles
Paperback. Condición: new. Paperback. Artificial Intelligence in Pharmaceutical SciencesArtificial Intelligence is increasingly shaping how medicines are discovered, developed, manufactured, and monitored. Yet for many students and professionals in pharmaceutical sciences, AI often appears abstract, fragmented, or disconnected f…rom real pharmaceutical practice.This book presents Artificial Intelligence as it is practically applied across the pharmaceutical lifecycle. Rather than focusing on algorithms in isolation or exaggerated claims, it explains AI as a scientific support system that assists decision-making in drug discovery, preclinical research, clinical trials, pharmacovigilance, manufacturing, quality systems, and regulatory affairs.The content progresses logically from foundational concepts to applied use cases, helping readers understand how AI interacts with biological data, experimental workflows, and regulatory frameworks. Special emphasis is placed on why AI is used, where it adds value, and how its limitations must be managed in safety-critical healthcare environments. Throughout the book, AI is positioned as a complement to pharmaceutical expertise-not a substitute for scientific judgment, ethical responsibility, or regulatory control.Written in clear and structured academic language, this book is intended for pharmacy students, researchers, educators, and industry professionals seeking a realistic and grounded understanding of AI in pharmaceutical sciences. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
- Tapa blanda
- Impresión bajo demanda
Librería: AHA-BUCH GmbH, Einbeck, AlemaniaAHA-BUCH GmbH
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 43,52
Envío por EUR 62,61Se envía de Alemania a Estados Unidos de AmericaCantidad disponible: 2 disponibles
Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Artificial Intelligence in Pharmaceutical SciencesArtificial Intelligence is increasingly shaping how medicines are discovered, developed, manufactured, and monitored. Yet for many students and professionals in pharmaceutical sciences, A…I often appears abstract, fragmented, or disconnected from real pharmaceutical practice.This book presents Artificial Intelligence as it is practically applied across the pharmaceutical lifecycle. Rather than focusing on algorithms in isolation or exaggerated claims, it explains AI as a scientific support system that assists decision-making in drug discovery, preclinical research, clinical trials, pharmacovigilance, manufacturing, quality systems, and regulatory affairs.The content progresses logically from foundational concepts to applied use cases, helping readers understand how AI interacts with biological data, experimental workflows, and regulatory frameworks. Special emphasis is placed on why AI is used, where it adds value, and how its limitations must be managed in safety-critical healthcare environments. Throughout the book, AI is positioned as a complement to pharmaceutical expertise-not a substitute for scientific judgment, ethical responsibility, or regulatory control.Written in clear and structured academic language, this book is intended for pharmacy students, researchers, educators, and industry professionals seeking a realistic and grounded understanding of AI in pharmaceutical sciences.
