Assessing Covid 19 And Other Pandemics And Epidemics Using Computational Modelling And Data Analysis
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Assessing COVID-19 and Other Pandemics and Epidemics using Computational Modelling and Data Analysis
Author: Subhendu Kumar Pani
language: en
Publisher: Springer Nature
Release Date: 2021-12-13
This book comprehensively covers the topic of COVID-19 and other pandemics and epidemics data analytics using computational modelling. Biomedical and Health Informatics is an emerging field of research at the intersection of information science, computer science, and health care. The new era of pandemics and epidemics bring tremendous opportunities and challenges due to the plentiful and easily available medical data allowing for further analysis. The aim of pandemics and epidemics research is to ensure high-quality, efficient healthcare, better treatment and quality of life by efficiently analyzing the abundant medical, and healthcare data including patient’s data, electronic health records (EHRs) and lifestyle. In the past, it was a common requirement to have domain experts for developing models for biomedical or healthcare. However, recent advances in representation learning algorithms allow us to automatically learn the pattern and representation of the given data for the development of such models. Medical Image Mining, a novel research area (due to its large amount of medical images) are increasingly generated and stored digitally. These images are mainly in the form of: computed tomography (CT), X-ray, nuclear medicine imaging (PET, SPECT), magnetic resonance imaging (MRI) and ultrasound. Patients’ biomedical images can be digitized using data mining techniques and may help in answering several important and critical questions related to health care. Image mining in medicine can help to uncover new relationships between data and reveal new and useful information that can be helpful for scientists and biomedical practitioners. Assessing COVID-19 and Other Pandemics and Epidemics using Computational Modelling and Data Analysis will play a vital role in improving human life in response to pandemics and epidemics. The state-of-the-art approaches for data mining-based medical and health related applications will be of great value to researchers and practitioners working in biomedical, health informatics, and artificial intelligence..
An Introduction to the Microbiome in Health and Diseases
Author: Charles Oluwaseun Adetunji
language: en
Publisher: Academic Press
Release Date: 2024-04-22
An Introduction to the Microbiome in Health and Diseases covers the compositional structure and roles of the human microbiome in health and disease. Sections discuss and foundational content, from bench to bedside in microbiology to trigger more in-depth knowledge and provide updated findings on today's hottest topic–the microbiome. The book translates current findings of studies into clinical practice. Other sections give updates on the role of microbiome in health and several diseases, the impact of diet, exercise and gut microbiome, the plant microbiome, non-infectious environmental agents and autoimmunity. - Provides fundamental coverage on the microbiome and its effect on human health and diseases. - Describes procedures for sampling small and larger samples of the microbiome. - Discusses patents, bioproducts, commercialization, and the social, ethical and economic implications of the microbiome.
Blockchain Technology in Healthcare - Concepts, Methodologies, and Applications
Author: Nilayam Kumar Kamila
language: en
Publisher: Bentham Science Publishers
Release Date: 2023-11-28
This volume reviews cutting-edge innovations in blockchain technology that are propelling the healthcare industry into a new era of efficiency and security. It brings 14 reviews contributed by experts in blockchain and Web3 technologies into a single volume. Each contribution includes a summary for easy understanding and scientific references for advanced readers. Key Themes: Empowering Decentralized Healthcare: Learn about the future of decentralized healthcare, powered by blockchain, ensuring a seamless and patient-centric experience. Clinical Trials: Discover how blockchain is reshaping clinical trials, offering a glimpse into a future of optimized medical research. Data Security: Uncover the strategic use of blockchain in securing vital clinical trials data, ensuring confidentiality and integrity at every step. Blockchain-based Healthcare delivery: Delve into a comprehensive review of blockchain technology in the health sector, revealing its potential to transform healthcare systems with efficient and precise solutions. Predict, Prevent, and Protect: Understand how blockchain technology serves as a predictive tool, aiding in the prevention and control of the spread of COVID-19. This volume is a must-read for healthcare practitioners and administrators seeking to harness the power of blockchain in medicine and healthcare. It also provides information for researchers and business professionals who want to understand the innovative role of blockchain technology in the healthcare sector.