Sign up
Forgot password?
FAQ: Login

Malviya R., Verma S., Sundram S., Shah H. Digital Blockchain: Big Data, Artificial Intelligence, and Virtual Reality in Healthcare Ecosystem

  • pdf file
  • size 6,96 MB
Malviya R., Verma S., Sundram S., Shah H. Digital Blockchain: Big Data, Artificial Intelligence, and Virtual Reality in Healthcare Ecosystem
De Gruyter, 2025. — 617 p. — (De Gruyter Series on the Applications of Mathematics in Engineering and Information Sciences 20). – ISBN: 9783111574288.
"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.
Introduction to smart pharma: the foundation of AI and big data.
Emerging technology in pharma and the role of AI and blockchain.
Partnership and collaboration in the pharmaceutical industry.
Education and training in smart pharma.
Drug manufacturing and quality control with artificial intelligence.
Drug development and clinical trial via artificial intelligence.
AI-driven clinical decision support systems for pharma executives.
AI-based pharmacovigilance and drug safety.
Intellectual property and data privacy in the pharmaceutical sector.
Regulatory affairs and compliance in the pharmaceutical sector.
AI and big data in post-marketing surveillance.
Challenges and ethical considerations.
Future trends and innovations of AI in healthcare.
  • Sign up or login using form at top of the page to download this file.
  • Sign up
Up