Digital Twins : For Superior Clinical Decision Making
Digital Twins : For Superior Clinical Decision Making
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Author(s): Andargoli, Amir
Wickramasinghe, Nilmini
ISBN No.: 9781032780351
Pages: 138
Year: 202507
Format: Trade Cloth (Hard Cover)
Price: $ 254.74
Dispatch delay: Dispatched between 7 to 15 days
Status: Available (Forthcoming)

"For decades, the digital representation of objects and entities has been a crucial field of research in computer science as well as application domains. Dynamic technological progress boosts the relevance by moving from modelling and instantiation towards realistically portrayed digital twins, e.g., by big data and artificial intelligence. Actually, the highest prospective impact of digital twins is anticipated in business and healthcare. Digital twins of products, machines, facilities and human beings will revolutionize the way we create value, for businesses as well as particularly for health providers and patients. This book is an eye-opener to that future." Freimut Bodendorf , Professor, Friedrich Alexander University, Erlangen, Nuremberg, Germany "Digital twins are increasingly relevant in the age of personalized medicine.


Exploration of the effects of medicines avoids the potential of debilitating side effects and promotes individual health. This book can be expected to have a major impact." Doug Vogel , PhD, AIS and AIDH Fellow "This book could not have come at a more opportune time. As providers struggle to raise clinical quality, lower costs, and accomplish this with fewer human resources, technology can help achieve this. Although NASA launched the digital twin effort, the time has come for it to land in healthcare." Duane F. Wisk , DO, MPH, FACOEM, Adjunct Assistant Professor, Warren Alpert School of Medicine, Brown University " Digital Twins offers an innovative approach to modern healthcare delivery, where timely decision-making depends on numerous data sources, many of which are available in real time. This book provides a comprehensive overview of Digital Twin applications in healthcare, offering valuable insights for researchers, practitioners, and decision-makers interested in harnessing this technology to enhance healthcare delivery.


" Wenny Rahayu , PhD, Professor and Dean of the School of Computing, Engineering and Mathematical Sciences, La Trobe University.


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