Digital Twins and Healthcare
IGI Global (Verlag)
978-1-6684-5925-6 (ISBN)
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.
Loveleen Gaur is currently working as Professor of Artificial Intelligence and Data Analytics at Amity International Business School, Amity University, India. She is also an adjunct professor with Taylor University, Malaysia. She is in the editorial board of various reputed SCIE journal and reviewer with Q1 journals. She is supervising 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 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.(f62b0f94-79e9-41ce-b4a3-01d84272442e) Noor Zaman Jhanjhi is Associate Editor and Editorial Assistant Board for several reputable journals including IEEE Access Journal, PC member for several IEEE conferences around the globe, Active reviewer for a series of Q1 journals. He has authored several research papers in ISI indexed and impact factor research journals/IEEE international conferences, edited 08 international reputed Computer Science area books, supervised a great number of post graduate students, and external thesis examiner to his credit. He has successfully completed more than 19 international funded research grants. He also served as Keynote speaker for several conferences around the globe. He also chaired international conference sessions and presented session talks internationally. He has strong analytical, problem solving, interpersonal and communication skills. His areas of interest include Cyber Security, Wireless Sensor Network (WSN), Internet of Things IoT, Mobile Application Development, Ad hoc Networks, Cloud Computing, Big Data, Mobile Computing, and Software Engineering.
Erscheinungsdatum | 28.11.2022 |
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Verlagsort | Hershey |
Sprache | englisch |
Maße | 215 x 279 mm |
Gewicht | 463 g |
Themenwelt | Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik |
Medizin / Pharmazie | |
Technik ► Medizintechnik | |
ISBN-10 | 1-6684-5925-6 / 1668459256 |
ISBN-13 | 978-1-6684-5925-6 / 9781668459256 |
Zustand | Neuware |
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