Blockchain in Health Sciences
Acerca de este libro electrónico
Blockchain in Health Sciences is an essential roadmap for navigating the complex landscape of blockchain technology in healthcare. From foundational concepts to real-world applications, this book empowers understanding to harness the potential of blockchain to improve patient outcomes, enhance data privacy, and optimize healthcare delivery. Delve into the integration of blockchain with the Internet of Things and AI to uncover groundbreaking solutions for challenges faced by the healthcare industry. Gain insights into the regulatory and ethical implications of blockchain in healthcare, ensuring responsible and effective implementation. Each chapter 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 health sciences research. This book is an essential guide for readers exploring opportunities to empower and enable data in health science research.
Readers will find the volume:
- Introduces the fundamentals of blockchain and its integration with IoT in healthcare;
- Provides practical applications across patient records, drug supply chains, and genomics research;
- Explores the synergy of AI, IoT, and blockchain for unprecedented healthcare advancements.
Audience
Healthcare professionals, researchers, policymakers, IT experts, and anyone interested in the future of healthcare.
Acerca del autor
Aryan Chaudhary is the Chief Scientific Advisor, BioTech Sphere Research, India. He has published academic papers on public and digital health in international journals and participated as a keynote speaker in many national and international conferences. His research includes the integration of Internet of Things and sensor technology for gathering vital signs through ambulatory monitoring, the functionality of artificial intelligence, machine learning for big data analytics for faster intervention, and tracking of prognosis and research for effective clinical research for the future development of treatments, drugs, pathological tests, and the supply system.
Rashmi Singh, PhD is a professor and placement coordinator at the Amity Institute of Applied Sciences with over 20 years of experience. She has published two books, 40 patents, and 18 articles in national and international journals of repute. Her research interests include fuzzy, soft, and rough set theory, near structures, and mathematics in artificial intelligence and machine learning.
Gaurav Agarwal, PhD is an associate professor and program chair in the School of Computer Science and Engineering at Galgotias University with over 20 years of teaching experience. He has published ten articles in international journals and conferences and eight patents. His research interests include web usability and accessibility, deep learning, machine learning, and large language models.
