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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

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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

MB

Mohammad Sufian Badar

Mohammad “Sufian” Badar, PhD is currently working as an Professor (Assistant) in the Department of Computer Science and Engineering, School of Engineering Sciences and Technology (SEST), Jamia Hamdard, New Delhi, India. Prior to that, he served as a Senior Teaching Faculty in the Department of Bioengineering at the University of California, Riverside, CA, USA. He served as an Analytics Architect in CenturyLink for more than a year in Denver, CO, USA. He possesses an excellent academic record with an MS degree in Molecular Science and Nanotechnology and a Ph.D. in Engineering from Louisiana Tech University Ruston, LA, USA, respectively. Before joining the Ph.D. program at Louisiana Tech University, he graduated with an MSc in Bioinformatics from Jamia Millia Islamia University, New Delhi, India. Dr. Sufian has over 18 years of teaching, research, and industry experience. He has published his research in conferences and highly reputed international journals. He has authored many chapters in the areas of Artificial Intelligence/Machine Learning and Blockchain/IoT. He has published six books with Elsevier, Springer Nature and Bentham, respectively. He recently submitted three book proposals with different publishers.

He is currently in the process of developing a device that, using Biosensors, can correlate the physiology of the human body with the emotion recognition algorithm, giving us a clear measure of the amount of stress hormones in the body. Currently, he and his group have developed an ML model that predicts COVID-19 infection based on symptoms only, and we are now working on increasing the accuracy of our model.

Affiliations and expertise
Senior Teaching Faculty, Department of Bioengineering, University of California, Riverside, CA, USA

NR

Nima Rezaei

Professor Nima Rezaei gained his medical degree (MD) from Tehran University of Medical Sciences and subsequently obtained an MSc in Molecular and Genetic Medicine and a PhD in Clinical Immunology and Human Genetics from the University of Sheffield, UK. He also spent a short-term fellowship of Pediatric Clinical Immunology and Bone Marrow Transplantation in the Newcastle General Hospital. Professor Rezaei is now the Full Professor of Immunology and Vice Dean of Research, School of Medicine, Tehran University of Medical Sciences, and the co-founder and Head of the Research Center for Immunodeficiencies. He is also the founding President of the Universal Scientific Education and Research Network (USERN). Professor Rezaei has already been the Director of more than 55 research projects and has designed and participated in several international collaborative projects. Professor Rezaei is an editorial assistant or board member for more than 30 international journals. He has edited more than 35 international books, has presented more than 500 lectures/posters in congresses/meetings, and has published more than 1,000 scientific papers in the international journals.
Affiliations and expertise
Professor, Department of Immunology, School of Medicine; Head, Research Center for Immunodeficiencies, Children’s Medical Center, Tehran University of Medical Sciences; Founding President, Network of Immunity in Infection, Malignancy and Autoimmunity (NIIMA),Universal Scientific Education and Research Network (USERN),Tehran, Iran

HI

Hassan Imtiyaz

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

JA

Jawed Ahmed

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

MA

M. Afshar Alam

Professor M. Afshar Alam is presently working as Vice-Chancellor and Professor and Dean of School of Engineering Sciences and Technology at Jamia Hamdard, New Delhi. His research areas include Software Re-engineering, Data Mining, Bio-Informatics, Fuzzy databases, and Sustainable Development. He has authored 10 books, supervised more than 30 Doctoral students and more than 200 Post Graduate research projects and has more than 160 research papers in reputed journals to his credit. He is conferred with many prestigious awards like Bharat Samaj Ratna Award, AMP Award for Excellence in Education, Cooperative Citizen Award, World Environment Day Award, and Spardha Shree Award. He is also the member of various government bodies at both National and International level including University Grants Commission (UGC), All India Council of Technical Education (AICTE), National Assessment and Accreditation Council (NAAC), Department of Science & Technology (DST).

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

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