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Digital Blockchain:Big Data, Artificial Intelligence, and Virtual Reality in Healthcare Ecosystem (De Gruyter Series on the Applications of Mathematics in Engineering and Information Sciences, 20)
by: Rishabha Malviya (Author), Shristy Verma (Author), Sonali Sundram (Author), Harshil Shah (Author)
Publisher: De Gruyter
Edition: 1st
Publication Date: 2025-04-21
Language: English
Print Length: 267 pages
ISBN-10: 3111573869
ISBN-13: 9783111573861
Book Description
"Digital Blockchain- Big Data, Artificial Intelligence and Virtual Reality in Healthcare Ecosystem" is a book that explores the revolutionary impact of blockchain, big data, and artificial intelligence (AI) on the pharmaceutical and healthcare sectors. The book discusses AI, big data, and their applications in drug research, clinical trials, regulatory compliance, and post-marketing surveillance. The book also discusses education and training in smart pharma, demonstrating the potential of AI, big data, and machine learning to improve workforce capacities. The book discusses intellectual property and data privacy issues, the legislative framework for AI adoption, ethical considerations, and future trends in AI-enabled drug research, manufacturing, and healthcare innovation. It is a valuable resource for healthcare professionals, industrial experts, and academicians, offering theoretical and practical insights.
Editorial Reviews
"Digital Blockchain- Big Data, Artificial Intelligence and Virtual Reality in Healthcare Ecosystem" is a book that explores the revolutionary impact of blockchain, big data, and artificial intelligence (AI) on the pharmaceutical and healthcare sectors. The book discusses AI, big data, and their applications in drug research, clinical trials, regulatory compliance, and post-marketing surveillance. The book also discusses education and training in smart pharma, demonstrating the potential of AI, big data, and machine learning to improve workforce capacities. The book discusses intellectual property and data privacy issues, the legislative framework for AI adoption, ethical considerations, and future trends in AI-enabled drug research, manufacturing, and healthcare innovation. It is a valuable resource for healthcare professionals, industrial experts, and academicians, offering theoretical and practical insights.
