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Total Size:
7.0 MB
Info Hash:
69EBBBA7675AC2C351F5F7F13D813B74FE059F6B
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Added:
April 20, 2026, 1:02 p.m.
Stats:
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(Last updated: April 20, 2026, 1:08 p.m.)
| File | Size |
|---|---|
| Malviya R. Digital Blockchain. Big Data, Artificial Intelligence,...2025.pdf | 7.0 MB |
Name
DL
Uploader
Size
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Added
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27.1 MB
[17
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3]
2024-11-02
| Uploaded by indexFroggy | Size 27.1 MB | Health [ 17 /3 ] | Added 2024-11-02 |
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14.3 MB
[26
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3]
2024-12-31
| Uploaded by indexFroggy | Size 14.3 MB | Health [ 26 /3 ] | Added 2024-12-31 |
NOTE
SOURCE: Malviya R. Digital Blockchain. Big Data, Artificial Intelligence,...2025
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COVER
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MEDIAINFO
Textbook in PDF format "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. Preface Introduction to smart pharma: 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
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