Blockchain for Healthcare 4.0 (eBook, PDF)

Technology, Challenges, and Applications
Redaktion: Malviya, Rishabh; Sundram, Sonali

• Format: PDF

Produktbeschreibung

This book presents an overview of the recent advances in blockchain technology which have led to new breakthroughs in the healthcare industry, the application of artificial intelligence with blockchain, challenges, and prospects.

---

Dieser Download kann aus rechtlichen Gründen nur mit Rechnungsadresse in A, B, BG, CY, CZ, D, DK, EW, E, FIN, F, GR, HR, H, IRL, I, LT, L, LR, M, NL, PL, P, R, S, SLO, SK ausgeliefert werden.

Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 336
• Erscheinungstermin: 18. Dezember 2023
• Englisch
• ISBN-13: 9781003819288
• Artikelnr.: 69439662

Autorenporträt

Dr. Rishabha Malviya completed B. Pharmacy from Uttar Pradesh Technical University and M. Pharmacy (Pharmaceutics) from Gautam Buddha Technical University, Lucknow Uttar Pradesh. His PhD (Pharmacy) work was in the area of Novel formulation development techniques. He has 12 years of research experience and presently working as Associate Professor in the Department of Pharmacy, School of Medical and Allied Sciences, Galgotias University since past 8 years. His area of interest includes formulation optimization, nanoformulation, targeted drug delivery, localized drug delivery and characterization of natural polymers as pharmaceutical excipients. He has authored more than 200 research/review papers for national/international journals of repute. He has 58 patents (19 grants, 38 published, 1 filed) and publications in reputed National and International journals with total of 191 cumulative impact factor. He has also received an Outstanding Reviewer award from Elsevier. He has authored/edited/editing 46 books (Wiley, CRC Press/Taylor and Francis, Springer, River Publisher, IOP publishing and OMICS publication) and authored 31 book chapters. His name has included in word's top 2% scientist list for the year 2020 and 2021 by Elsevier BV and Stanford University. He is Reviewer/Editor/Editorial board member of more than 50 national and international journals of repute. He has invited as author for "Atlas of Science" and pharma magazine dealing with industry (B2B) "Ingredient south Asia Magazines". Prof. Sonali Sundram completed B. Pharm & M. Pharm (Pharmacology) from AKTU, Lucknow. She has worked as research scientist in project of ICMR in King George's Medical University, Lucknow after that she has joined BBDNIIT and currently she is working in Galgotias university, Greater Noida. Her PhD (Pharmacy) work was in the area of Neurodegeneration and Nanoformulation. Her area of interest is neurodegeneration, clinical research, artificial intelligence. She has authored/edited/editing more than 15 books (Wiley, CRC Press/Taylor and Francis, IOP publishing, Apple Academic Press/Taylor and Francis, Springer Nature and River Publisher) She has attended as well organized more than 15 national and international seminar/conferences/workshop. She has more than 8 patents national and international in her credit. She has published six SCI indexed manuscripts (cumulative impact factor: 20.71) with reputed international publishers. She has delivered oral presentation in international conferences organized in different European countries.

Inhaltsangabe

4. Application of blockchain in tracking diseases and outbreaks
5. Building Efficient Smart Contract for Healthcare 4.0
6. Blockchain Technology: Reinventing the Management of Information
Infrastructure
8. Postmortem Concentrations: Distributed Privacy-Preserving Blockchain
Authentication Framework in Cloud Forensics
9. Blockchain in Tracing and Securing Medical Supplies
11. Healthcare Record Management for Healthcare 4.0 via Blockchain: A
Review of Current Applications, Opportunities, Challenges and Future
Potential
12. Benefits and roles of blockchain in genomics
13. Blockchain for large-scale clinical information transaction.
15. Improved Data Transmission Technique for Health Care Emergency Vehicle
Using Block Chain in Vanet
16. Blockchain Based Digital Twin to Predict Heart Attack