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The Role of Artificial Intelligence and Machine Learning for the Fight Against COVID-19

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Mathematical Modeling and Intelligent Control for Combating Pandemics

Part of the book series: Springer Optimization and Its Applications ((SOIA,volume 203))

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Abstract

The COVID-19 pandemic has presented a major challenge to public health systems worldwide. Artificial intelligence (AI) and machine learning (ML) have emerged as powerful tools for the fight against the virus in many different ways. This chapter examines the role played by AI and ML for the fight against COVID-19, highlighting their contributions to various aspects of the pandemic response, such as diagnosis, drug discovery, and vaccine development. By analyzing current research and case studies, it is evident that AI and ML have been instrumental in accelerating the development of COVID-19 treatments and vaccines. Additionally, AI and ML have enabled health systems to better manage the pandemic by predicting and monitoring the spread of the disease, identifying at-risk populations, and optimizing resource allocation. These technologies have also facilitated the development of virtual healthcare services, which have played a crucial role in ensuring continuity of care during the pandemic. The use of AI and ML for the fight against COVID-19 has revealed the potential of technology in addressing global health challenges. The pandemic has highlighted the importance of investing in digital health infrastructure and leveraging emerging technologies to improve healthcare delivery and outcomes. While there are still challenges to be addressed, such as data privacy and ethical concerns, the rapid advancements in AI and ML during the pandemic have demonstrated their significant potential for improving public health and living conditions under extremely challenging conditions.

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Acknowledgements

The authors thank the financial support from the European Union’s Horizon 2020 research and innovation program, Marie Sklodowska-Curie action, RISE program, of the project PDE-GIR (grant agreement #778035), and from the Agencia Estatal de Investigación (AEI), Spanish Ministry of Science and Innovation, Computer Science National Program (grant agreement #PID2021-127073OB-I00) of the MCIN/AEI/10.13039/501100011033/FEDER, EU.

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Authors and Affiliations

  1. Computer Graphics & Artificial Intelligence Group, Department of Applied Mathematics & Computational Sciences, University of Cantabria, Santander, Spain

    Andrés Iglesias & Akemi Gálvez

  2. Faculty of Pharmaceutical Sciences, Toho University, Funabashi, Japan

    Andrés Iglesias & Akemi Gálvez

  3. Computer Graphics & Artificial Intelligence Group, Department of Applied Mathematics & Computational Sciences, University of Cantabria, Santander, Spain

    Patricia Suárez

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  1. Andrés Iglesias
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  2. Akemi Gálvez
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  3. Patricia Suárez
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Correspondence to Andrés Iglesias .

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Editors and Affiliations

  1. Department of Medical Research, China Medical University Hospital, Taichung, Taiwan

    Zakia Hammouch

  2. University of Hassan II Casablanca, Casablanca, Morocco

    Mohamed Lahby

  3. Department of Mathematics and Computer Science, Cankaya University, Etimesgut, Türkiye

    Dumitru Baleanu

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Iglesias, A., Gálvez, A., Suárez, P. (2023). The Role of Artificial Intelligence and Machine Learning for the Fight Against COVID-19. In: Hammouch, Z., Lahby, M., Baleanu, D. (eds) Mathematical Modeling and Intelligent Control for Combating Pandemics. Springer Optimization and Its Applications, vol 203. Springer, Cham. https://doi.org/10.1007/978-3-031-33183-1_7

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