Sensing Tools And Techniques For Covid 19

Author : Chaudhery Mustansar Hussain
Publisher : Elsevier
ISBN 13 : 0323902812
Total Pages : 328 pages
Book Rating : 4.16/5 ( download)

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Download or read book Sensing Tools and Techniques for COVID-19 written by Chaudhery Mustansar Hussain and published by Elsevier. This book was released on 2022-07-22 with total page 328 pages. Available in PDF, EPUB and Kindle. Book excerpt: Sensing Tools and Techniques for COVID-19: Developments and Challenges in Analysis and Detection of Coronavirus helps readers understand the basic principles of sensor development. Sections give a brief overview of the physical and chemical properties of sensing tools and the basics of techniques. With recent advancements in sensing technology, various smart materials and techniques are now being employed for new purposes. In addition, biosensing devices can be tuned at the molecular level to perform better detection of COVID-19. This book covers the various approaches for the development and fabrication of biosensor systems for the analysis of the novel coronavirus. In addition, the book discusses the commercialization and standardization of biosensing technology, along with future perspectives on biosensor technologies used for the analysis and treatment of COVID-19. This book will serve as an up-to-date source of trusted information on biosensor tools and techniques for the analysis of COVID-19. Provides an in-depth look at current sensing tools and devices and their applicability in healthcare Demonstrates the different integration approaches for the development of biosensor systems, along with design and commercialization guidelines Presents a strategic approach for the contact-less analysis of COVID-19

Author : Chaudhery Mustansar Hussain
Publisher : John Wiley & Sons
ISBN 13 : 3527349189
Total Pages : 308 pages
Book Rating : 4.80/5 ( download)

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Download or read book Detection and Analysis of SARS Coronavirus written by Chaudhery Mustansar Hussain and published by John Wiley & Sons. This book was released on 2021-08-23 with total page 308 pages. Available in PDF, EPUB and Kindle. Book excerpt: Detection and Analysis of SARS Coronavirus Detecting and analyzing the COVID-19 pandemic with biosensor technology The highly contagious SARS CoV-2 pathogen has challenged health systems around the world as they struggle to detect and monitor the spread of the pathogen. In Detection and Analysis of SARS Coronavirus: Advanced Biosensors for Pandemic Viruses and Related Pathogens expert chemists Chaudhery Mustansar Hussain and Sudheesh K. Shukla deliver a practical analysis of how contactless coronavirus detectors may be developed using existing biosensor technology. The editors outline current challenges in the field, the bioanalytical principles for coronavirus detection, and available biosensor technology. They then move on to how available technology might be adapted to detect coronaviruses and how commercialization of the technology might unfold. The lessons learned in this book are readily applicable to the study of other current and emerging pathogens. Readers will also enjoy: A thorough introduction to the current diagnostic approaches for COVID-19, including common challenges, technology adaptation, and future potential An exploration of bio-analytical strategies for SARS CoV-2/COVID-19, including COVID detection via nanotechnology, biosensing approaches, and the role of nanotechnology in coronavirus detection Practical discussions of biosensors for the analysis of SARS CoV-2/COVID-19, including sensor development for coronavirus and chemical sensors for coronavirus diagnosis In-depth treatments of the commercialization and standardization for analytical technologies Perfect for virologists, pharmaceutical industry professionals, and sensor developers, Detection and Analysis of SARS Coronavirus is also an indispensable resource for those working in analytical research institutes, biotechnology industry professionals, and public health agency professionals.

Author : Valentina Emilia Balas
Publisher : Academic Press
ISBN 13 : 032385995X
Total Pages : 218 pages
Book Rating : 4.50/5 ( download)

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Download or read book Biomedical Engineering Tools for Management for Patients with COVID-19 written by Valentina Emilia Balas and published by Academic Press. This book was released on 2021-06-08 with total page 218 pages. Available in PDF, EPUB and Kindle. Book excerpt: Biomedical Engineering Tools for Management of Patients with COVID-19 presents biomedical engineering tools under research (and in development) that can be used for the management of COVID-19 patients, along with BME tools in the global environment that curtail and prevent the spread of the virus. BME tools covered in the book include new disinfectants and sterilization equipment, testing devices for rapid and accurate COVID-19 diagnosis, Internet of Things applications in COVID-19 hospitals, analytics, Data Science and statistical modeling applied to COVID-19 tracking, Smart City instruments and applications, and more. Later sections discuss smart tools in telemedicine and e-health. Biomedical engineering tools can provide engineers, computer scientists, clinicians and other policymakers with solutions for managing patient treatment, applying data analysis techniques, and applying tools to help the general population curtail spread of the virus. Provides leading-edge biomedical engineering tools and techniques for the treatment of patients with the COVID-19 virus Integrates a variety of case studies as a resource for COVID-19 researchers and clinicians around the world, including both positive and negative research findings Provides insights into innovative Biomedical Engineering techniques and devices from COVID-19 researchers around the world

Author : Chaudhery Mustansar Hussain
Publisher : John Wiley & Sons
ISBN 13 : 3527832513
Total Pages : 304 pages
Book Rating : 4.14/5 ( download)

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Download or read book Detection and Analysis of SARS Coronavirus written by Chaudhery Mustansar Hussain and published by John Wiley & Sons. This book was released on 2021-07-13 with total page 304 pages. Available in PDF, EPUB and Kindle. Book excerpt: Detection and Analysis of SARS Coronavirus Detecting and analyzing the COVID-19 pandemic with biosensor technology The highly contagious SARS CoV-2 pathogen has challenged health systems around the world as they struggle to detect and monitor the spread of the pathogen. In Detection and Analysis of SARS Coronavirus: Advanced Biosensors for Pandemic Viruses and Related Pathogens expert chemists Chaudhery Mustansar Hussain and Sudheesh K. Shukla deliver a practical analysis of how contactless coronavirus detectors may be developed using existing biosensor technology. The editors outline current challenges in the field, the bioanalytical principles for coronavirus detection, and available biosensor technology. They then move on to how available technology might be adapted to detect coronaviruses and how commercialization of the technology might unfold. The lessons learned in this book are readily applicable to the study of other current and emerging pathogens. Readers will also enjoy: A thorough introduction to the current diagnostic approaches for COVID-19, including common challenges, technology adaptation, and future potential An exploration of bio-analytical strategies for SARS CoV-2/COVID-19, including COVID detection via nanotechnology, biosensing approaches, and the role of nanotechnology in coronavirus detection Practical discussions of biosensors for the analysis of SARS CoV-2/COVID-19, including sensor development for coronavirus and chemical sensors for coronavirus diagnosis In-depth treatments of the commercialization and standardization for analytical technologies Perfect for virologists, pharmaceutical industry professionals, and sensor developers, Detection and Analysis of SARS Coronavirus is also an indispensable resource for those working in analytical research institutes, biotechnology industry professionals, and public health agency professionals.

Author : Dong Wang
Publisher : Morgan Kaufmann
ISBN 13 : 0128011319
Total Pages : 232 pages
Book Rating : 4.17/5 ( download)

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Download or read book Social Sensing written by Dong Wang and published by Morgan Kaufmann. This book was released on 2015-04-17 with total page 232 pages. Available in PDF, EPUB and Kindle. Book excerpt: Increasingly, human beings are sensors engaging directly with the mobile Internet. Individuals can now share real-time experiences at an unprecedented scale. Social Sensing: Building Reliable Systems on Unreliable Data looks at recent advances in the emerging field of social sensing, emphasizing the key problem faced by application designers: how to extract reliable information from data collected from largely unknown and possibly unreliable sources. The book explains how a myriad of societal applications can be derived from this massive amount of data collected and shared by average individuals. The title offers theoretical foundations to support emerging data-driven cyber-physical applications and touches on key issues such as privacy. The authors present solutions based on recent research and novel ideas that leverage techniques from cyber-physical systems, sensor networks, machine learning, data mining, and information fusion. Offers a unique interdisciplinary perspective bridging social networks, big data, cyber-physical systems, and reliability Presents novel theoretical foundations for assured social sensing and modeling humans as sensors Includes case studies and application examples based on real data sets Supplemental material includes sample datasets and fact-finding software that implements the main algorithms described in the book

Author : Amit Joshi
Publisher : Springer Nature
ISBN 13 : 9811565724
Total Pages : 91 pages
Book Rating : 4.24/5 ( download)

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Download or read book Intelligent Systems and Methods to Combat Covid-19 written by Amit Joshi and published by Springer Nature. This book was released on 2020-08-26 with total page 91 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book discusses intelligent systems and methods to prevent further spread of COVID-19, including artificial intelligence, machine learning, computer vision, signal processing, pattern recognition, and robotics. It not only explores detection/screening of COVID-19 positive cases using one type of data, such as radiological imaging data, but also examines how data analytics-based tools can help predict/project future pandemics. In addition, it highlights various challenges and opportunities, like social distancing, and addresses issues such as data collection, privacy, and security, which affect the robustness of AI-driven tools. Also investigating data-analytics-based tools for projections using time series data, pattern analysis tools for unusual pattern discovery (anomaly detection) in image data, as well as AI-enabled robotics and its possible uses, the book will appeal to a broad readership, including academics, researchers and industry professionals.

Author : Parag Verma
Publisher : CRC Press
ISBN 13 : 1000391701
Total Pages : 528 pages
Book Rating : 4.01/5 ( download)

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Download or read book COVID-19 written by Parag Verma and published by CRC Press. This book was released on 2021-08-18 with total page 528 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book highlights progress in terms of Virus Biology and Infection Detection, Prevention, and Control, along with Screening, Testing, and Detection Techniques, that will provide learners and researchers (from basic to advanced) with the most innovative computer-driven methodologies for the fight against COVID-19. In addition, this book also covers the Pre- and Post-Impact of the COVID-19 Pandemic Crisis that will definitely provide useful content for researchers to think broadly about the analytical areas affected by COVID-19. This ultimately shows different paths to the same destination to help understand the nature of the COVID-19 pandemic and how to avoid it in the future.

Author : Sandeep Kautish
Publisher : Springer Nature
ISBN 13 : 3030689360
Total Pages : 392 pages
Book Rating : 4.60/5 ( download)

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Download or read book Computational Intelligence Techniques for Combating COVID-19 written by Sandeep Kautish and published by Springer Nature. This book was released on 2021 with total page 392 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the latest cutting edge research, theoretical methods, and novel applications in the field of computational intelligence and computational biological approaches that are aiming to combat COVID-19. The book gives the technological key drivers behind using AI to find drugs that target the virus, shedding light on the structure of COVID-19, detecting the outbreak and spread of new diseases, spotting signs of a COVID-19 infection in medical images, monitoring how the virus and lockdown is affecting mental health, and forecasting how COVID-19 cases and deaths will spread across cities and why. Further, the book helps readers understand computational intelligence techniques combating COVID-19 in a simple and systematic way. Provides a comprehensive reference covering innovations and development of theories, conceptual models and computational algorithms focused on COVID-19; Asserts all relevant research, key themes, complex adaptive systems, metrics and paradigms dedicated towards COVID-19, enabled with evolutionary methods of computational sciences; Explores how AI and computational techniques can help to predict which patients with the virus would go on to develop Acute Respiratory Distress Syndrome (ARDS).

Author : Paul C. Guest
Publisher : Springer Nature
ISBN 13 : 1071623958
Total Pages : 414 pages
Book Rating : 4.54/5 ( download)

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Download or read book Multiplex Biomarker Techniques written by Paul C. Guest and published by Springer Nature. This book was released on 2022-07-15 with total page 414 pages. Available in PDF, EPUB and Kindle. Book excerpt: This detailed volume explores the application of multiplex biomarker methods in the critical area of COVID-19 research through state-of-the-art technologies in the fields of genomics, proteomics, transcriptomics, metabolomics, and imaging. The book features a series of protocols from labs across the globe employing multiplex molecular approaches, which can be applied to accelerate progress in the research of SARS-CoV-2 and other infectious illnesses. Written for the highly successful Methods in Molecular Biology series, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible laboratory protocols, and tips on troubleshooting and avoiding known pitfalls. Authoritative and essential, Multiplex Biomarker Techniques: Methods and Applications for COVID-19 Disease Diagnosis and Risk Stratification serves as a vital resource for researchers in the areas of virology, metabolic diseases, respiratory disorders, as well as to clinical scientists, physicians, pharmacologists, and the healthcare services.

Author : S. Prabha
Publisher : CRC Press
ISBN 13 : 1000439356
Total Pages : 161 pages
Book Rating : 4.59/5 ( download)

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Download or read book Computational Modelling and Imaging for SARS-CoV-2 and COVID-19 written by S. Prabha and published by CRC Press. This book was released on 2021-09-02 with total page 161 pages. Available in PDF, EPUB and Kindle. Book excerpt: The aim of this book is to present new computational techniques and methodologies for the analysis of the clinical, epidemiological and public health aspects of SARS-CoV-2 and COVID-19 pandemic. The book presents the use of soft computing techniques such as machine learning algorithms for analysis of the epidemiological aspects of the SARS-CoV-2. This book clearly explains novel computational image processing algorithms for the detection of COVID-19 lesions in lung CT and X-ray images. It explores various computational methods for computerized analysis of the SARS-CoV-2 infection including severity assessment. The book provides a detailed description of the algorithms which can potentially aid in mass screening of SARS-CoV-2 infected cases. Finally the book also explains the conventional epidemiological models and machine learning techniques for the prediction of the course of the COVID-19 epidemic. It also provides real life examples through case studies. The book is intended for biomedical engineers, mathematicians, postgraduate students; researchers; medical scientists working on identifying and tracking infectious diseases.