Digital Twins And Healthcare Trends Techniques And Challenges Loveleen Gaur by Loveleen Gaur, Noor Zaman Jhanjhi 9781668459256, 9781668459263, 1668459256, 1668459264 instant download after payment.

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.