Blockchain In Life Sciences

This book highlights the latest advances on the implementation and adaptation of blockchain technologies in real-world scientific, biomedical, and data applications. It presents rapid advancements in life sciences research and development by applying the unique capabilities inherent in distributed ledger technologies. The book unveils the current uses of blockchain in drug discovery, drug and device tracking, real-world data collection, and increased patient engagement used to unlock opportunities to advance life sciences research. This paradigm shift is explored from the perspectives of pharmaceutical professionals, biotechnology start-ups, regulatory agencies, ethical review boards, and blockchain developers. This book enlightens readers about the opportunities to empower and enable data in life sciences.

This book highlights the latest advances on the implementation and adaptation of blockchain technologies in real-world scientific, biomedical, and data applications. It presents rapid advancements in life sciences research and development by applying the unique capabilities inherent in distributed ledger technologies. The book unveils the current uses of blockchain in drug discovery, drug and device tracking, real-world data collection, and increased patient engagement used to unlock opportunities to advance life sciences research. This paradigm shift is explored from the perspectives of pharmaceutical professionals, biotechnology start-ups, regulatory agencies, ethical review boards, and blockchain developers. This book enlightens readers about the opportunities to empower and enable data in life sciences.

Advances in AI hаvе ассеlеrаtеd thе innоvаtiоn lаndѕсаре in pharmacy, health and food technologies, resulting in imрrоvеd оutсоmеѕ whilе reducing thе соѕt of рrоviding healthcare. AI iѕ nоw enabling nеw possibilities in healthcare whiсh wеrе considered infeasible before. This case study fосuѕеѕ оn thе еvоlutiоn оf AI in healthcare, kеу AI tесhnоlоgiеѕ, thе imрасt of AI оn jobs аnd buѕinеѕѕ models, thе futurе ѕсоре оf AI, and trеndѕ in аdорtiоn оf AI within hеаlthсаrе and life sciences. Thе case study also demonstrates оn hоw AI which converged with other new technologies such as Blockchain, is helping key ѕtаkеhоldеrѕ such as hospitals, diаgnоѕtiс lаbѕ, рhаrmасеutiсаl соmраniеѕ, and healthcare providers and payers in vаriоuѕ wауѕ. Artifiсiаl Intеlligеnсе will out-think, оut-innоvаtе, аnd оut-ѕtrаtеgizе humаnѕ at аll lеvеlѕ. Onе оf the biggеѕt challenges is thе сlаѕh bеtwееn AI and humans whеn it comes to innovation аnd humаn intellect. In the future, Artifiсiаl Intеlligеnсе will bе running оur ѕосiеtу аnd сivilizаtiоn with thе mоѕt еxреdiеnt and efficient methods аnd processes. Humаnѕ will bе expected tо fоllоw thеѕе new nоrmѕ that thе AI systems hаvе сrеаtеd ѕimрlу bесаuѕе they аrе deemed tо be the vеrу bеѕt ѕtrаtеgiеѕ fоr thе mоѕt optimum gain. More and more homes in the US and worldwide are experiencing the benefit of virtual home assistant, such as Amazon Alexa and other similar products. AI products and services have been reported to play the role of a virtual companion to people away from their families and those living in nursing homes. Artifiсiаl Intеlligеnсе iѕ thе hоt new technology раrаdigm оf thе mоmеnt. It iѕ thе ѕubjесt оf a grеаt deal оf mеdiа hуре, wоеѕ аnd mуthоlоgizing. It ѕееmѕ wоrthwhilе, thеrеfоrе, tо trу tо ѕеt thе ѕсеnе, lооk аt ѕоmе dеfinitiоnѕ, аnd ѕее whеrе it iѕ сurrеntlу bеing аррliеd. With rеgаrd tо dеfinitiоnѕ, well, that iѕ unfоrtunаtеlу nоt ԛuitе ѕо ѕtrаightfоrwаrd. Tеrmѕ ѕuсh аѕ ''nеurаl network,'' ''dеер lеаrning'' аnd ''gеnеrаl AI'' are uѕеd frеԛuеntlу in the mеdiа, аnd оftеn intеrсhаngеаblу. The OED dеfinеѕ ''аrtifiсiаl intelligence'' аѕ ''...thе thеоrу аnd dеvеlорmеnt of computer ѕуѕtеmѕ аblе tо perform tаѕkѕ nоrmаllу rеԛuiring humаn intеlligеnсе, such аѕ viѕuаl реrсерtiоn, speech recognition, decision-making, аnd trаnѕlаtiоn between lаnguаgеѕ.'' Nоwаdауѕ, оnе can hardly ignore the role оf аrtifiсiаl intеlligеnсе (AI) аnd Blockchain in the wаvе of thе fоurth induѕtriаl rеvоlutiоn (4IR): the former iѕ intеgrаtеd intо 4IR''s DNA and the lаttеr соuld rеvоlutiоnizе economic ѕуѕtеms'' infrastructure. These twо tесhnоlоgiеѕ could determine the dерth аnd brеаdth оf thе 4IR. In оrdеr tо discuss the synergy of AI and blосkсhаin, it is imроrtаnt to undеrѕtаnd what AI and Blockchain аrе in the firѕt рlасе. ConclusionIn summary, Blockchain саn еnаblе thе discovery, lосаtiоn, аnd sharing of AI/ML data, mоdеlѕ, rеѕultѕ, аnd vаlidаtiоnѕ. It can рrоvidе incentives fоr ѕhаring аnd еnаblе a mаrkеtрlасе using сrурtосurrеnсiеѕ and tоkеnѕ. More data frоm асrоѕѕ the nеtwоrk of hеаlthсаrе оrgаnizаtiоnѕ, аnd higher ԛuаlitу dаtа with dеtаilеd рrоvеnаnсе rесоrdѕ on Blockchain, саn bе uѕеd to build better models, асhiеvе bеttеr infеrеnсе rеѕultѕ, аnd maximize bеnеfitѕ in improving раtiеnt care аnd rеduсing hеаlthсаrе costs. Blockchain саn рrоvidе trаnѕраrеnсу in whеrе data comes frоm, hоw mоdеlѕ аrе built, validations оf infеrеnсе rеѕultѕ, and саtаlуzе collaboration around AI/ML to build truѕt, and evolve, mаturе, and imрrоvе AI/ML соllесtivеlу muсh faster and аt much lоwеr соѕt соllесtivеlу thаn if еасh healthcare оrgаnizаtiоn dоеѕ thiѕ indереndеntlу, аnd rеdundаntlу. Mаnу organizations are оn the fеnсе about Blockchain. Thоѕе thаt take аn еаrlу lеаd and рrоtоtуре, рilоt, lеаrn, improve, itеrаtе, and еvоlvе will blаzе trails and win thе еаrlу mоvеr аdvаntаgе. Blockchain is роiѕеd tо ѕnоwbаll with the network еffесt.

It takes 17 years on average to bring new medical treatments ideas into evidence-based clinical practice. The growing replicability crisis in science further delays these "new miracles." Blockchain can improve science and accelerate medical research while bringing a new layer of trust to healthcare. This book is about science, its value to medicine, and how we can use blockchain to improve the quality and impact of both. The book looks at science and medicine from an insider’s perspective and describes the processes, successes, shortcomings and opportunities in an accessible way for a broad audience. It weaves this a non-technical look at the emerging world of blockchain technology; what it is, where it is useful, and how it can improve science and medicine. It lays out a roadmap for this application to transform how we develop knowledge about health and medicine to improve our lives. In the first part, Blockchain isn’t Tech, the authors look at blockchain/distributed ledger technology along with critical trade-offs and current explorations of its utility. They give an overview of use cases for the technology across industries, including finance, manufacturing and healthcare, with interviews and insights from leaders across government, academia, and tech/health industry both big and start-up. In the second part, Science is Easy, the authors look at science as a process and how this drives advancement in medicine. They shed a light on some of science’s shortcomings, including the reproducibility crisis and problems with misaligned incentives (i.e. publish or perish). They apply a breakdown of critical components to the functional steps in the scientific process and outline how the open science movement is looking to improve these, while highlighting the limit of these fixes with current technology, incentives and structure of science. In the third part, DAO of Science, the authors look at how blockchain applied to open science can impact medical research. They examine how this distributed approach can provide better quality science, value-based research and faster medical miracles. Finally, they provide a vision of the future of distributed medical research and give a roadmap of steps to get there.

This book discusses applications of blockchain in healthcare sector. The security of confidential and sensitive data is of utmost importance in healthcare industry. The introduction of blockchain methods in an effective manner will bring secure transactions in a peer-to-peer network. The book also covers gaps of the current available books/literature available for use cases of Distributed Ledger Technology (DLT) in healthcare. The information and applications discussed in the book are immensely helpful for researchers, database professionals, and practitioners. The book also discusses protocols, standards, and government regulations which are very useful for policymakers. /div /div /div /div /div /div /div /div /div /div /div /div /div /div /div /div /div /div /div /div /div /div /div

Handbook of Research on Blockchain Technology presents the latest information on the adaptation and implementation of Blockchain technologies in real world business, scientific, healthcare and biomedical applications. The book's editors present the rapid advancements in existing business models by applying Blockchain techniques. Novel architectural solutions in the deployment of Blockchain comprise the core aspects of this book. Several use cases with IoT, biomedical engineering, and smart cities are also incorporated. As Blockchain is a relatively new technology that exploits decentralized networks and is used in many sectors for reliable, cost-effective and rapid business transactions, this book is a welcomed addition on existing knowledge. Financial services, retail, insurance, logistics, supply chain, public sectors and biomedical industries are now investing in Blockchain research and technologies for their business growth. Blockchain prevents double spending in financial transactions without the need of a trusted authority or central server. It is a decentralized ledger platform that facilitates verifiable transactions between parties in a secure and smart way. Presents the evolution of blockchain, from fundamental theories, to present forms Explains the concepts of blockchain related to cloud/edge computing, smart healthcare, smart cities and Internet of Things (IoT) Provides complete coverage of the various tools, platforms and techniques used in blockchain Explores smart contract tools and consensus algorithms Covers a variety of applications with real world case studies in areas such as biomedical engineering, supply chain management, and tracking of goods and delivery

Besides love, money and health are the most valuable human yearnings. Therefore, blockchain technology is paramount: a new foundation of confidence for human valuable transactions. Like information sharing was catalyzed on the pre-blockchain internet, transactions are now triggered on the new internet of value. In this second digital inflection point, economic media encompasses value beside information, and individuals can privately transact digital assets for the first time in history. Decentralized but structured organizations running on blockchain networks reduce transaction costs and are particularly competitive insofar as they guarantee data authenticity, confidentiality, and integrity, providing functional autonomy with disintermediation and smart contracts. Everything changed after user data were made public on the internet and privately traded by big tech companies, and nothing will be the same once that data is made private on the internet and publicly transacted by their rightful owners. While the internet of information reshaped the world, the internet of value will reform it, and everything will depend politically on this being done freely. Political and Economic Implications of Blockchain Technology in Business and Healthcare provides relevant theoretical frameworks on the civilizational impact of blockchain technology, which redesigns human interactions concerning value transactions. It gives ideas, concepts, and instruments to advance the knowledge on cryptoeconomics and decentralized governance in the new distributed trust paradigm. The chapters explore the ethical repercussions and profound political-economic consequences to society, providing insights into business applications focusing on the healthcare sector. In a blockchain era affected by the post-COVID-19 new normal, which mixes politics, economics, and health, this book is essential for students and researchers in social and life sciences; professionals and policymakers working in the fields of public and business administration; and healthcare workers and researchers, academicians, and students interested in blockchain technology and its political and economic impacts in the industry and society.

It takes 17 years on average to bring new health ideas into evidence-based clinical practice. The growing replicability crisis in science further delays these "new miracles." Blockchain can improve replicability and hasten the knowledge translation process. This book is about science, its value to our health, and how we can use blockchain to improve its quality and impact. The book will look at science and medicine from an insider's perspective, and describe the processes, successes, shortcomings and opportunities for advancement for the lay audience. It will give the reader a non-technical look at the emerging world of blockchain technology; what it is, where it is useful, and how it can improve science and health. It will lay out a roadmap for this application to transform how we develop knowledge about disease and accelerate cures to improve our lives. In the first part, the authors look at science as a process and how this drives advancement in medicine. They'll then shed a light on some of science's shortcomings, including the reproducibility crisis and problems with misaligned incentives (i.e. publish or perish). The book applies a breakdown of critical components to the functional steps in the scientific process and outlines how the open science movement is looking to improve these. It will also highlight the limit of these fixes with current technology, incentives and structure of science. The second part, looks at the history of distributed ledgers from pre-computer versions to the current applications of blockchain/distributed ledger technology and gives an overview of use cases for the technology across industries, including finance, manufacturing and healthcare. Additional focus will be provided to the application challenges with more complex data systems and the need for a contributing network of users. The third and last part, looks at the principle of a distributed autonomous organization (DAO) applied to the health sciences. The authors examine how this distributed approach can provide better quality science, value-based research and faster medical miracles. Finally, the authors will provide a vision of the future of distributed health science in the structure of a DAO and give a roadmap of steps to get there.