The healthcare industry is starting to adopt digital twins to improve personalized medicine, healthcare organization performance, and new medicine and devices. These digital twins can create useful models based on information from wearable devices, omics, and patient records to connect the dots across processes that span patients, doctors, and healthcare organizations as well as drug and device manufacturers. Digital twins are digital representations of human physiology built on computer models. The use of digital twins in healthcare is revolutionizing clinical processes and hospital management by enhancing medical care with digital tracking and advancing modelling of the human body. These tools are of great help to researchers in studying diseases, new drugs, and medical devices.

Digital Twins and Healthcare: Trends, Techniques, and Challenges facilitates the advancement and knowledge dissemination in methodologies and applications of digital twins in the healthcare and medicine fields. This book raises interest and awareness of the uses of digital twins in healthcare in the research community. Covering topics such as deep neural network, edge computing, and transfer learning method, this premier reference source is an essential resource for hospital administrators, pharmacists, medical professionals, IT consultants, students and educators of higher education, librarians, and researchers.

Coverage:

The many academic areas covered in this publication include, but are not limited to:

Artificial Intelligence
Bibliometric Analysis
Deep Neural Network
Diagnosis and Prognosis
Digital Twins
Edge Computing
Geospatial Information
Healthcare Data Analytics
Healthcare Multimedia
High-Resolution Computed Tomography (HRCT)
Transfer Learning Method

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Editor/Author Biographies

Loveleen Gaur is currently working as an adjunct professor with Taylor's University, Malaysia & University of South Pacific, Fiji and academic consultant with Australian School of Graduate Studies.She has supervised several PhD scholars, Post Graduate students, mainly in Artificial Intelligence and Data Analytics for business and healthcare. Under her guidance, the AI/Data Analytics research cluster has published extensively in high impact factor journals and has established extensive research collaboration globally with several renowned professionals. She is a senior IEEE member and Series Editor with CRC and Wiley. She has high indexed publications in SCI/ABDC/WoS/Scopus and has several Patents/copyrights on her account, edited/authored many research books published by world-class publishers. She has excellent experience in supervising and co-supervising postgraduate and PhD students internationally. An ample number of Ph.D. and master’s students graduated under her supervision. She is an external Ph.D./Master thesis examiner/evaluator for several universities globally. She has also served as Keynote speaker for several international conferences, presented several Webinars worldwide, chaired international conference sessions. Prof. Gaur has significantly contributed to enhancing scientific understanding by participating in many scientific conferences, symposia, and seminars, by chairing technical sessions and delivering plenary and invited talks. She has specialized in the fields of Artificial Intelligence, Machine Learning, Pattern Recognition, Internet of Things, Data Analytics and Business Intelligence. She has chaired various positions in International Conferences of repute and is a reviewer with top rated journals of IEEE, SCI and ABDC Journals. She has been honored with prestigious National and International awards. She has introduced courses related to Artificial Intelligence specialization including, Predictive Analytics, Deep and Reinforcement learning etc. She has vast experience teaching advanced-era specialized courses, including Predictive Analytics, Data Visualization, Social Network Analytics, Deep Learning, Power BI, Digital Marketing and Digital Innovation etc., besides other undergraduate and postgraduate courses, graduation projects, and thesis supervision.

Noor Zaman Jhanjhi (N.Z Jhanjhi) is currently working as a Professor in Computer Science (Cybersecurity and AI), Program Director for the Postgraduate Research Degree Programmes in computer science, Director of the Center for Smart Society (CSS5) at the School of Computer Science at Taylor’s University, Malaysia. He has been nominated as the world’s top 2% research scientist globally consecutive for 2022, and 2023; he is among the top five computer science researchers in Malaysia and was nominated as an Outstanding Faculty Member by the MDEC Malaysia for the year 2022. He has highly indexed publications in WoS/ISI/SCI/Scopus, and his collective research Impact factor is more than 1000 plus points. His Google Scholar H index is 60, and I-10 Index is close to 277, and his Scopus H index is 39, with more than 600 publications on his credit. He has several international patents on his account, including Australian, German, UK, and Japanese patents. He edited/authored over 50 research books published by world-class publishers, including Springer, IGI Global USA, Taylors and Frances, IET, Willeys, Intech Open, etc. He has excellent experience supervising and co-supervising postgraduate students, and more than 38 Postgraduate scholars graduated under his supervision. Prof. Jhanjhi serves as Associate Editor and Editorial Assistant Board for several reputable journals, such as PeerJ Computer Science, CMC Computers, Materials & Continua, Computer Systems Science and Engineering CSSE, Frontier in Communication and Networks, etc. He received the Outstanding Associate Editor award for IEEE ACCESS. Active reviewer for a series of top-tier journals has been awarded globally as a top 1% reviewer by Publons (Web of Science). He is an external Ph.D./Master thesis examiner/evaluator for several universities globally and has evaluated 60 plus theses. He has completed more than 40 internationally funded research grants successfully. He has been a keynote/invited speaker for over 60 international conferences and has chaired international conference sessions. He has vast experience in academic qualifications, including ABET, NCAAA, and NCEAC, for 10 years. His research areas include Cybersecurity, IoT security, Wireless security, Data Science, Software Engineering, and UAVs. .

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