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024 7 _a10.1088/978-0-7503-5839-2
_2doi
035 _a(CaBNVSL)thg00083669
035 _a(OCoLC)1401935885
040 _aCaBNVSL
_beng
_erda
_cCaBNVSL
_dCaBNVSL
050 4 _aR859.7.A78
_bM353 2023eb
060 4 _aW 26.55.A7
_bM262b 2023eb
072 7 _aUYQ
_2bicssc
072 7 _aCOM093000
_2bisacsh
100 1 _aMalviya, Rishabha,
_eauthor.
_965301
245 1 0 _aBlockchain with artificial intelligence for healthcare :
_ba synergistic approach /
_cRishabha Malviya, Arun Kumar Singh, Sonali Sundram, Balamurugan Balusamy, Seifedine Kadry.
264 1 _aBristol [England] (Temple Circus, Temple Way, Bristol BS1 6HG, UK) :
_bIOP Publishing,
_c[2023]
300 _a1 online resource (various pagings) :
_billustrations (some color).
336 _atext
_2rdacontent
337 _aelectronic
_2isbdmedia
338 _aonline resource
_2rdacarrier
490 1 _a[IOP release $release]
490 1 _aIOP series in next generation computing
490 1 _aIOP ebooks. [2023 collection]
500 _a"Version: 20230901"--Title page verso.
504 _aIncludes bibliographical references.
505 8 _a8. Boosting biomedical research with the integration of blockchain and AI -- 8.1. Introduction -- 8.2. Advancements in artificial intelligence -- 8.3. A system of large-scale storage distance -- 8.4. Data privacy and regulatory barriers : their significant concerns -- 8.5. The developments in blockchain -- 8.6. The exonumia structure for blockchain projects -- 8.7. Blockchain storage -- 8.8. Network interactions -- 8.9. Conclusion
505 8 _a9. Challenges faced in healthcare with blockchain -- 9.1. Introduction -- 9.2. Applications -- 9.3. BCT application in electronic health records (EHRs) -- 9.4. Challenges -- 9.5. Future perspectives -- 9.6. Conclusion
505 8 _a10. Blockchain and IoT : changing challenges into opportunities -- 10.1. Introduction -- 10.2. Blockchain technology and related concepts -- 10.3. Types of blockchain -- 10.4. Decentralization -- 10.5. IoT and related concepts -- 10.6. Conclusion
505 8 _a11. Future prospects for blockchain technology in healthcare -- 11.1. Introduction -- 11.2. Data collection and storage -- 11.3. The present state of medical records and history -- 11.4. Blockchain-based identification and data security solutions -- 11.5. Blockchain solutions for pharmaceuticals -- 11.6. Strategic values and implementation challenges -- 11.7. Summary and conclusion.
505 0 _a1. Blockchain and artificial intelligence : an overview -- 1.1. Introduction -- 1.2. Blockchain in e-Health -- 1.3. Blockchain healthcare use cases in e-Health -- 1.4. Blockchain in the healthcare industry -- 1.5. Artificial intelligence in e-Health -- 1.6. Features of artificial intelligence in e-Health -- 1.7. Applications of AI in healthcare -- 1.8. AI in drug discovery -- 1.9. Conclusion
505 8 _a2. Advancement in blockchain : revolutionizing healthcare -- 2.1. Introduction -- 2.2. Blockchain applications in the health sector -- 2.3. Blockchain for managing medical and pharmaceutical supply chains -- 2.4. Healthcare industry application -- 2.5. Conclusion
505 8 _a3. Decentralizing health data with blockchain technology -- 3.1. Introduction -- 3.2. EHR systems -- 3.3. Taxonomy of blockchain systems -- 3.4. Motivations for blockchain-based EHR systems -- 3.5. Blockchain-based EHR systems -- 3.6. Data storage -- 3.7. Conclusion
505 8 _a4. Challenges in utilizing blockchain for securing health data -- 4.1. Introduction -- 4.2. Health big data and blockchain technology -- 4.3. Notable benefits of blockchain to healthcare big data management -- 4.4. Prominent healthcare areas in which blockchain is useful -- 4.5. Health insurance -- 4.6. Healthcare billing systems -- 4.7. Challenges -- 4.8. Storage cost -- 4.9. Participation adoption -- 4.10. Conclusion
505 8 _a5. Management of disease using blockchain with AI and wearable technology -- 5.1. Introduction -- 5.2. Prevention and treatment for chronic diseases -- 5.3. Monitoring and management of chronic diseases -- 5.4. Cardiovascular diseases -- 5.5. Pulmonary diseases -- 5.6. Diabetes mellitus -- 5.7. Chronic diseases requiring sports rehabilitation -- 5.8. Discussion -- 5.9. Limitation -- 5.10. Conclusion
505 8 _a6. Leveraging blockchain technology in remote healthcare services -- 6.1. Introduction -- 6.2. Blockchain in the area of telemedicine and healthcare -- 6.3. Telehealth and telemedicine blockchain -- 6.4. Increasing transaction pace and large-scale health data sets -- 6.5. Conclusion
505 8 _a7. Smart contracts : a medical intervention that automates remote patient monitoring -- 7.1. Introduction -- 7.2. System design -- 7.3. Implementation -- 7.4. System analysis -- 7.5. Conclusion
520 3 _aBlockchain and AI are novel and potentially disruptive innovations in healthcare sector. This book reviews the technologies and benefits offered by AI and blockchain in particular, and the integration of both in modern biomedical research. Following an introduction to AI and blockchain, it discusses fundamental details and application of blockchain in healthcare and the potential bring offered by a synergistic combination of both technologies. The information technology and applications discussed in the book will be essential for academic and commercial researchers, computer scientists, database professionals, and healthcare practitioners needing to understand how these technologies will form a new foundation of biomedical research and modern healthcare.IOP Series in Next Generation ComputingPart of IPEM-IOP Series in Next Generation Computing.
521 _aGeneral/trade, Professional and scholarly.
530 _aAlso available in print.
538 _aMode of access: World Wide Web.
538 _aSystem requirements: Adobe Acrobat Reader, EPUB reader, or Kindle reader.
545 _aDr. 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 150 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 more than 200 cumulative impact factor. He has also received an Outstanding Reviewer award from Elsevier. He has authored/edited/editing 50 books (Wiley, CRC Press/Taylor and Francis, IOP publishing. River Publisher Denmark, Springer Nature, Apple Academic Press/Taylor and Francis, Walter de Gruyter, 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". Arun Kumar Singh has completed M. Pharm (pharmaceutics) from Galgotias University, Greater Noida, India. His area of interest is in the area of Nanoformulation, Blockchain, IoT, Machine learning, Cancer, Artificial intelligence, big data. He has published 3 chapter in the field of big data with prestigious River Publisher, Denmark. He has also published two review paper among which one is in Biochimica et Biophysica Acta (BBA) - Reviews on Cancer (IF: 10.68). His strength is Research skill, thinking innovation, leadership qualities, decision making, and positive thinking. His hard-working nature and devotion to their work make him distinguish and extraordinary. 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. Balamurugan Balusamy has served up to the position of Associate Professor in his stint of 14 years of experience with VIT University, Vellore. He had completed his Bachelors, Masters and PhD Degrees from premier institutions from India. His passion is teaching and adapts different design thinking principles while delivering his lectures. He has published 30+ books on various technologies and visited 15 plus countries for his technical course. He has several top-notch conferences in his resume and has published over 150 journal, conference and book chapters combined. He serves in the advisory committee for several startups and forums and does consultancy work for industry on Industrial IOT. He has given over 175 talks in various events and symposium. He is currently working as a professor at Shiv Nadar University and teaches students, does research on Blockchain and IOT. Seifedine Kadry received the bachelor's degree from Lebanese University, in 1999, the M.S. degree from the University of Reims, France, in 2002, and the EPFL, Lausanne, the Ph.D. degree from Blaise Pascal University, France, in 2007, and the H.D.R. degree from the University of Rouen Normandy, in 2017. He is currently a Full Professor of data science with Noroff University College, Norway. He is also an ABET Program Evaluator of computing and an ABET Program Evaluator of engineering technology. His current research interests include data science, education using technology, system prognostics, stochastic systems, and probability and reliability analysis.
588 0 _aTitle from PDF title page (viewed on October 3, 2023).
650 0 _aArtificial intelligence
_xMedical applications.
_965209
650 0 _aBlockchains (Databases)
_957815
650 1 2 _aArtificial Intelligence.
_958441
650 1 2 _aBlockchain.
_966204
650 7 _aArtificial intelligence.
_2bicssc
_958441
650 7 _aCOMPUTERS / Blockchain.
_2bisacsh
_957819
700 1 _aSingh, Arun Kumar,
_cM. Pharm.,
_eauthor.
_996788
700 1 _aSundram, Sonali,
_eauthor.
_965302
700 1 _aBalusamy, Balamurugan,
_eauthor.
_991589
700 1 _aKadry, Seifedine,
_d1977-
_eauthor.
_996789
710 2 _aInstitute of Physics (Great Britain),
_epublisher.
_917702
776 0 8 _iPrint version:
_z9780750358378
_z9780750358408
830 0 _aIOP (Series).
_pRelease 23.
830 0 _aIOP series in next generation computing.
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830 0 _aIOP ebooks.
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856 4 0 _uhttps://iopscience.iop.org/book/mono/978-0-7503-5839-2
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