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Elsevier

Diagnosis and Analysis of COVID-19 using Artificial Intelligence and Machine Learning-Based Techniques

  • 1st Edition - July 17, 2024
  • Latest edition
  • Editors: Mohammad Sufian Badar, Nima Rezaei, Hassan Imtiyaz, Jawed Ahmed, M. Afshar Alam
  • Language: English

Diagnosis and Analysis of COVID-19 using Artificial Intelligence and Machine Learning-Based Techniques offers new insights and demonstrates how machine learning (ML), artificia… Read more

Description

Diagnosis and Analysis of COVID-19 using Artificial Intelligence and Machine Learning-Based Techniques offers new insights and demonstrates how machine learning (ML), artificial intelligence (AI), and (Internet of Things (IoT) can be used to diagnose and fight COVID-19 infection. Sections also discuss the challenges we face in using these technologies. Chapters cover pathogenesis, transmission, diagnosis, and treatment strategies for COVID-19, Artificial Intelligence and Machine Learning, and Blockchain /IoT Blockchain technology, examining how AI can be applied as a tool for detection and containment of the spread of COVID-19, and on the socioeconomic and educational post-pandemic impacts of the disease.

This is a multidisciplinary resource for those engaged in researching COVID-19 and how emerging technologies are being used as tools for detection, transmission and treatment strategies.

Key features

  • Describes the molecular basis of pathogenesis, epidemiology, transmission mechanism, diagnostic approaches, and the mutational landscape of SARS-CoV-2
  • Provides insights into post COVID-19 symptoms and consequences
  • Demonstrates how machine learning, AI, and IoT is used to diagnose and fight COVID-19 infection
  • Examines the use of Blockchain technology/IoT and interpretation and validation of data obtained from artificial intelligence

Readership

Researchers, scientists, graduate students in virology, infectious diseases, artificial intelligence and machine learning, government agencies, health workers, NGOs, public health professionals, graduates, academicians, and researchers in related fields

Table of contents

Part A: Biology of SARS-CoV-2

1. Understanding the molecular basis of pathogenesis of SARS-CoV-2

2. Epidemiology, evolution, and phylogeny of Coronaviruses

3. Transmission Mechanism and clinical manifestations of SARS-CoV-2

4. Diagnostic approaches in SARS-CoV-2 Infection (COVID-19)

5. Emerging therapeutic strategies for COVID-19

6. Vaccine development strategies and impact

7. Mutational landscape and emerging variants of SARS-CoV-2

8. Clinical management of Post COVID-19 symptoms and consequences

Part B: Machine Learning

9. Introduction of Artificial Intelligence (AI) and Machine Learning (ML)

10. Emerging Technologies for Coronaviruses (COVID-19)

11. Diagnosing Coronaviruses (COVID-19) Using Machine Learning

12. Radiology Images in Machine Learning: Diagnosing and Combatting COVID-19

13. Challenges and Constraints of Using Radiology Images to Diagnose COVID-19

Part C: Blockchain / IoT

14. Artificial Intelligence (AI) and Internet of Things (IoT): Application in Detecting and Containing the Spread of Covid-19

15. Checking Covid-19 Transmission Using IoT

16. Interpretation and validation of data obtained from Artificial Intelligence

17. Socioeconomic and Educational Impact of Pandemic and Use of Blockchain to Control It

Product details

  • Edition: 1
  • Latest edition
  • Published: July 30, 2024
  • Language: English

About the editors

Mohammad Sufian Badar

Editor
Mohammad Sufian Badar, PhD, is a Teaching Faculty (Temporary) member in the Department of Computer Science and Engineering, SEST, Jamia Hamdard, New Delhi. Previously, he was a senior teaching faculty member at UC Riverside, CA, USA, and an analytics architect at CenturyLink in Denver, CO, USA. He holds an MS in molecular science and nanotechnology and a PhD in engineering from Louisiana Tech University. Before that, he earned an MSc in bioinformatics from Jamia Millia Islamia, New Delhi. With over 18 years of teaching, research, and industry experience, Dr. Sufian has published in conferences and journals, authored chapters on AI, Machine Learning, Blockchain, IoT, and Computational Biology

Affiliations and expertise
Teaching Faculty (Temporary), Department of Computer Science and Engineering, School of Engineering Sciences and Technology (SEST), Jamia Hamdard University, India

Nima Rezaei

Editor

Nima Rezaei, MD, PhD, is Professor of Clinical Immunology and Allergy at Tehran University of Medical Sciences, where he also serves as Associate Dean of International Affairs for the School of Medicine and Director of the Global Academic Program. He is Deputy President of the Research Center for Immunodeficiencies and holds an affiliated research appointment in the Division of Clinical Immunology, Department of Laboratory Medicine, Karolinska Institutet, Sweden. He earned his MD from Tehran University of Medical Sciences and his PhD in Clinical Immunology and Human Genetics from the University of Sheffield, United Kingdom. His research addresses primary immunodeficiencies and translational immunology, with recent work extending into computational and AI-based approaches to immune profiling. He is the founder and President of the Universal Scientific Education and Research Network (USERN) and serves as co-editor of the Springer Nature series Advances in Experimental Medicine and Biology.

Affiliations and expertise
Professor of Clinical Immunology Karolinska Institutet, Stockholm, Sweden

Hassan Imtiyaz

Editor
Dr. Imtiyaz Hassan is another bioinformatician from India who is currently working as an Assistant Professor at a Premier Central University, Jamia Millia Islamia (JMI), New Delhi. He has completed his Ph.D. from All India Institute of Medical Sciences (AIIMS). He was ranked 6 on the list of best Bioinformaticians in India. He was also appointed as a Postdoctoral fellow at Saint Louis University School of Medicine, USA. He has published more than 70 research articles in reputed international journals and has been serving as an Editorial Board Member of Journal of Protein and Proteomics, Journal of Natural Science, Biology and Medicine and many other journals. His thrust area of research is structure-based drug designing aimed to identify novel therapeutic agents. His research group is dedicated to understanding the structure-function relationships and try to develop methods to determine, analyze and exploit the structure of proteins and their complexes. Currently, he is involved in developing potential inhibitors against cancer and diabetes, and search to find anti-obesity agents in humans.
Affiliations and expertise
Assistant Professor, Premier Central University, Jamia Millia Islamia (JMI), New Delhi, India

Jawed Ahmed

Editor
Dr. Jawed Ahmed is an Assistant Professor in the Department of Computer Science and Engineering at Hamdard University. His current research interest lies in Artificial Intelligence (AI), Machine Learning (ML), and the Internet of Things (IoT). He is also a Co-Chair ICT For Digital, Smart, and Sustainable Development International Conference
Affiliations and expertise
Department of Computer Science and Engineering, Hamdard University, Delhi, India

M. Afshar Alam

Editor
M. Afshar Alam was appointed Vice-Chancellor of Jamia Hamdard in 2021. He has held several academic and leadership positions at the university, including Head of the Department of Computer Science and dean-level positions in management, information technology, engineering, science, and technology. His research interests include software re-engineering, data mining, and sustainable development. He has authored books and published extensively in academic journals and has served on committees associated with several Government of India educational and research bodies, including the University Grants Commission (UGC), All India Council of Technical Education (AICTE), and Science Engineering and Research Board (SERB). He has also received a number of awards for his contributions to education and research.

Affiliations and expertise
Former Vice-Chancellor and Professor, School of Engineering Sciences and Technology, Jamia Hamdard, New Delhi, India

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