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 is a globally recognized authority in Computer Science, with a distinguished specialization in Cybersecurity and Artificial Intelligence. Currently, he holds a prominent position as a Professor at the School of Computer Science, Taylor’s University, Malaysia, where he also serves as the Program Director for Postgraduate Research Degree Programmes. Prof. Jhanjhi’s remarkable contributions to the field have earned him a place among the world’s top 2% research scientists for 2022 and 2023, and he is ranked among the top three computer science researchers in Malaysia. In recognition of his outstanding academic and research achievements, he was honored as an Outstanding Faculty Member by MDEC Malaysia in 2022, and Vice Chancellor Best Researcher award for the year 2023. Prof. Jhanjhi’s academic and research credentials are unparalleled, with a prolific publication record that includes over 600 peer-reviewed articles indexed in leading databases such as WoS, ISI, SCI, and Scopus. His collective research impact factor exceeds 1000, reflecting the significant influence of his work on the global scientific community. Additionally, Prof. Jhanjhi is the holder of multiple international patents from Australia, Germany, the UK, and Japan, underscoring his innovation in the field. He has authored and edited over 60 research books with prestigious publishers, including Springer, IGI Global USA, Taylor and Francis, Elsevier, Wiley, and IntechOpen, further cementing his reputation as a leading scholar. His dedication to mentoring the next generation of researchers is evident in his successful supervision and co-supervision of more than 38 postgraduate scholars to the completion of their degrees. Prof. Jhanjhi’s influence extends beyond his research, as he serves as an Associate Editor and member of the Editorial Board for several esteemed journals, including PeerJ Computer Science, CMC Computers, Materials & Continua, and Frontier in Communication and Networks. His contributions to academic publishing have been recognized with the Outstanding Associate Editor award for IEEE ACCESS, and he is globally acknowledged as a top 1% reviewer by Publons (Web of Science). With extensive experience in academic accreditation, including ABET, NCAAA, and NCEAC, Prof. Jhanjhi has also served as an external examiner for over 60 PhD and Master’s theses across various universities worldwide. He has successfully led over 40 internationally funded research grants and has been a keynote and invited speaker at more than 60 international conferences, where he frequently chairs sessions. His research interests are diverse, encompassing Cybersecurity, Artificial Intelligence, IoT Security, Wireless Security, Data Science, Software Engineering, and UAVs. Prof. Dr. Noor Zaman Jhanjhi is a visionary leader in the field of Computer Science, whose contributions continue to shape the future of cybersecurity and artificial intelligence.

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