The goal of this book project is to explore how emerging era solutions and systems in disease and healthcare applications can assist people to lead wholesome lives. In recent years, the growth of biomedical techniques brings many benefits to the protection of health. So health is a dynamic and evolving concept, influenced by changes in communities. Today, the disease prospect has shifted from infectious to chronic diseases, and the impact of nutrition, lifestyle, and environmental factors on health has become more important than ever. Healthcare computing and networking can collect and analyze full-size volumes of health-related data, leading to tremendous opportunities for the health and biomedical community. Meanwhile, these technologies have also brought new challenges and issues. In biomedical research, precision medicine is considered one of the most promising directions for healthcare development. With all these changes afoot, a better understanding of current trends in health and disease can enable appropriate planning to tackle the impending challenges facing global health care systems.
Biomedical intelligence is based on prescriptive and predictive analytics of machine learning. The healthcare computing systems include hardware, computational models, databases, and software that optimize the acquisition, transmission, processing, storage, retrieval, analysis, and interpretation of vast volumes of multi-modal health-related data. Currently, these systems have been deployed in solutions that integrate a variety of technologies, including deep learning, artificial intelligence, computer vision, Internet of Things, E-Health, bioinformatics, sensors, etc., to achieve patient-centric healthcare. The healthcare system projected that the efficiency, accuracy, predictive value, and benefits of biomedical intelligence will greatly improve in the years to come.