Detection Methods In Precision Medicine
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Detection Methods in Precision Medicine
Author: Mengsu Yang
language: en
Publisher: Royal Society of Chemistry
Release Date: 2020-12-14
This book will be among the first to cover the detection methods for precision medicine that are set to transform health care in the future.
Detection Methods in Precision Medicine
Author: Mengsu (Michael) Yang
language: en
Publisher: Royal Society of Chemistry
Release Date: 2020-12-10
Precision medicine is a topical subject that attracts tremendous attention from scientific and medical communities, being set to transform health care in the future. This book will be among the first to cover the detection methods for precision medicine. The first section provides an overview of the biomarkers used for precision medicine, such as proteins, nucleic acids, and metabolites. The coverage then turns to sequencing techniques and their applications, and other bioanalytical techniques, including mass spectrometry for proteome and phosphoproteome analysis, immunological methods and droplet technologies. The final sections include biosensors applied to precision medicine and clinical applications. This book provides a reference for researchers and students interested and working in the development of bioanalytical techniques for clinical applications. It provides a useful introduction for physicians and medical laboratory technologists to the recent advances in detection methods for precision medicine.
Translating Healthcare Through Intelligent Computational Methods
This book provides information on interdependencies of medicine and telecommunications engineering and how Covid exemplifies how the two must rely on each other to effectively function in this era. The book discusses new techniques for medical service improvisation such as clear cut views on medical technologies. The authors provide chapters on processing of medical amenities using medical images, the importance of data and information technology in medicine, and machine learning and artificial intelligence in healthcare. Authors include researchers, academics, and professionals in the field of communications engineering with a variety of perspectives.