医薬品産業4.0：未来、課題と応用 Pharmaceutical industry 4.0: Future, Challenges & Application

著者名：Malviya, Rishabha (EDT)/Sundram, Sonali (EDT)/Fuloria, Shivkanya (EDT)/Meenakshi, Dhanalekshmi Unnikrishnan (EDT)

River Publishers（2023/12/14発売）

• 言語：ENG
• ISBN：9788770228435
• eISBN：9781000965193

Description

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.

Table of Contents

1. Digitalization in the Pharmaceutical Industry: Prioritization Throughout Digital Transformation 2. Applications of Industry 4.0 to the Pharmaceutical Sector 3. Blockchain in Pharmaceutical Industry: Opportunities and Challenges 4.Patient Monitoring using Blockchain 5. Potential of AI in 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 Healthcare Systems: Application and Challenges 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 Pharmacy Profession