Sustainable Healthcare Traditional Knowledge and Current Challenges
Language: English
Published by Springer, 2026
- Hardcover
- New

Condition: New
US$ 273.29
Quantity: 2 available
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This book focuses on exploring the potential of artificial intelligence and its respective components in drug designing from medicinal and aromatic plants. Different ancient civilizations have shown the significance of herbal formulation in healthcare, food and curing the ailments. However, with time the majority of this treasure has been lost due to overexploitation or generation gap (destruction of ancient civilization) and evolution of synthetic drugs. In recent decades, society again shifted toward herbal healthcare mainly due to side effects of synthetic drugs. Therefore, the proposal has been segregated into three sections: Section 1 (Chapter 1-4) will cover the basics of traditional practices, policies and screening methods. Section 2 (Chapter 5-10) will elaborate the disease specific applications of phytoformulations. Some of the common and prevalent diseases like blood borne infections, neurological diseases, viral infections, respiratory disorders and biofilm-associated nosocomial infections will be discussed. Section 3 (Chapter 11-15) will provide an overview of OMICS and advanced tools integration in drug development followed by emerging challenges with AI models. Sprache: Englisch Gewicht in Gramm: 662.…
Seller Inventory # IB-5386851
- Title
- Sustainable Healthcare Traditional Knowledge and Current Challenges
- Publisher
- Springer
- Publication year
- 2026
- Condition
- Neu
- Binding
- Gebundene Ausgabe
- Language
- English
- ISBN 10
- 3032154928
- ISBN 13
- 9783032154927
- Item weight
- 662 grams
This book focuses on exploring the potential of artificial intelligence and its respective components in drug designing from medicinal and aromatic plants. Different ancient civilizations have shown the significance of herbal formulation in healthcare, food and curing the ailments. However, with time the majority of this treasure has been lost due to overexploitation or generation gap (destruction of ancient civilization) and evolution of synthetic drugs. In recent decades, society again shifted toward herbal healthcare mainly due to side effects of synthetic drugs. Therefore, the proposal has been segregated into three sections: Section 1 (Chapter 1-4) will cover the basics of traditional practices, policies and screening methods. Section 2 (Chapter 5-10) will elaborate the disease specific applications of phytoformulations. Some of the common and prevalent diseases like blood borne infections, neurological diseases, viral infections, respiratory disorders and biofilm-associated nosocomial infections will be discussed. Section 3 (Chapter 11-15) will provide an overview of OMICS and advanced tools integration in drug development followed by emerging challenges with AI models.
"Synopsis" may belong to another edition of this title.
From the Back Cover
This book focuses on exploring the potential of artificial intelligence and its respective components in drug designing from medicinal and aromatic plants. Different ancient civilizations have shown the significance of herbal formulation in healthcare, food and curing the ailments. However, with time the majority of this treasure has been lost due to overexploitation or generation gap (destruction of ancient civilization) and evolution of synthetic drugs. In recent decades, society again shifted toward herbal healthcare mainly due to side effects of synthetic drugs. Therefore, the proposal has been segregated into three sections: Section 1 (Chapter 1-4) will cover the basics of traditional practices, policies and screening methods. Section 2 (Chapter 5-10) will elaborate the disease specific applications of phytoformulations. Some of the common and prevalent diseases like blood borne infections, neurological diseases, viral infections, respiratory disorders and biofilm-associated nosocomial infections will be discussed. Section 3 (Chapter 11-15) will provide an overview of OMICS and advanced tools integration in drug development followed by emerging challenges with AI models.
"About the title" may belong to another edition of this title.
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