Ralf Huss

Digital Medicine (eBook, ePUB)

Bringing Digital Solutions to Medical Practice

• Format: ePub

Produktbeschreibung

This book provides an introduction into the field of digital medicine, its wide spectrum of current clinical applications, and the future practice of medicine. With "digital health" and "digital medicine" at its core, it focuses on the combination of therapeutics with modern hard- and software solutions, including artificial intelligence and advanced diagnostic technologies such as augmented imaging and ingestible or wearable (nano)sensors, to provide best patient care. In the four parts of this book, experts in the field have authored use cases and guiding principles on the visualization of patient data analytics and clinical decision support tools, including robotic-guided interventions, as well as nursing research along with palliative and inpatient care. The book also provides examples of "digital medicine" from almost all clinical disciplines together with technical and e-learning solutions.

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Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 714
• Erscheinungstermin: 9. Juni 2023
• Englisch
• ISBN-13: 9781000868975
• Artikelnr.: 67691929

Autorenporträt

Ralf Huss is an adjunct professor of pathology at the Institute of Pathology and Molecular Diagnostics, University Hospital Augsburg (Germany), where he also founding director of the Institute for Digital Medicine, before he assumed the role of the managing director of BioM Biotech Cluster Development GmbH in Munich (Germany). Dr. Huss is board certified in anatomical, experimental, and molecular pathology with more than 30 years of training and experience in histopathology, immunology, translational cancer research, and oncology in Zurich (Switzerland), Seattle (USA), and Munich (Germany). He has also held different senior positions in the pharmaceutical industry at Roche and AstraZeneca. He also serves as an honorary professor at the University College Dublin (Ireland) and as a lecturer of nanotechnology and biomaterials at the Faculty of Chemistry, Technical University of Munich (Germany). His research focuses on the use of machine and artificial intelligence in routine tissue diagnostics and biomarker discovery, and he has (co-)authored more than 150 peer-reviewed articles, reviews, book chapters, and books in related areas.