
Pharmaceutical industry 4.0: Future, Challenges & Application
- 386 pages
- English
- ePUB (mobile friendly)
- Available on iOS & Android
Pharmaceutical industry 4.0: Future, Challenges & Application
About this book
The pharmaceutical industry is on the cusp of a new age, with the need for personalized therapy, more complex production processes, smaller batch sizes and rising manufacturing costs. It is necessary to continuously adapt to the rapidly changing environment using novel technology and improved operational efficiency and flexibility. To achieve this, intelligent manufacturing seems to be a definite answer. Pharma 4.0 is a framework for adapting digital strategies to the unique contexts of pharmaceutical manufacturing. This book provides a deep insight into key technologies that will modernize pharmaceutical manufacturing and facilitate digital transformation. Throughout the book we discuss technologies, application and challenges for applying digital technology in pharmaceutical industry, including:
• Focus on an overview of Industry 4.0 and its application in the pharmaceutical field
• Most recent advances in the pharmaceutical industry
• Understanding the concepts of emerging technology trends for drug discovery.
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Information
Table of contents
- Cover Page
- Half Title Page
- Series Title Page
- Title Page
- Copyright Page
- Contents
- Preface
- Acknowledgement
- List of Figures
- List of Tables
- List of Contributors
- List of Abbreviations
- 1 Digitalization in the Pharmaceutical Industry: Prioritization Throughout the Digital Transformation
- 2 Applications of Industry 4.0 in the Pharmaceutical Sector
- 3 Blockchain in the Pharmaceutical Industry: Opportunities and Challenges
- 4 Patient Monitoring using Blockchain
- 5 Potential of AI in the Advancement of the Pharmaceutical Industry
- 6 Use of Artificial Intelligence and Robotics: Making the Drug Development Process Easier
- 7 Pharmaceutical Packaging: New Impulse through Artificial Intelligence
- 8 Digital Assistant in the Pharmaceutical Field for Advancing Healthcare Systems
- 9 Deep Learning Techniques and Drug Release
- 10 Tissue Response Study using Deep Learning Techniques
- 11 Issues and Challenges in Bioinformatics Tools for Clinical Trials
- 12 Advancement in Artificial Intelligence: Insights and Future Vision for the Pharmacy Profession
- Index