Computational Intelligence in Vaccine Design Against COVID-19

Bharadwaj, Kaushik Kumar; Srivastava, Ankit; Panda, Manasa Kumar; Singh, Yengkhom Disco; Maharana, R; Mandal, K. K.; Singh, Bharat; Singh, Dipanjali; Das, Mamoni; Murmu, Devasish; Kabi, Sandeep Kumar

doi:10.1007/978-981-15-8534-0_16

Cited by 22 publications

(12 citation statements)

References 79 publications

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“…A wide range of tools for the vaccine research of COVID-19 are being optimised with different AI algorithms [165] , [166] , [167] . Several applications of AI in accelerating research and drug development to combat the COVID-19 pandemic are summarised in Table 7 .…”

Section: Robotics and Ai Technologies In Covid-19 Healthcarementioning

confidence: 99%

Robotics and artificial intelligence in healthcare during COVID-19 pandemic: A systematic review

Sarker

Jamal

Ahmed

et al. 2021

Robotics and Autonomous Systems

125

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The outbreak of the COVID-19 pandemic is unarguably the biggest catastrophe of the 21st century, probably the most significant global crisis after the second world war. The rapid spreading capability of the virus has compelled the world population to maintain strict preventive measures. The outrage of the virus has rampaged through the healthcare sector tremendously. This pandemic created a huge demand for necessary healthcare equipment, medicines along with the requirement for advanced robotics and artificial intelligence-based applications. The intelligent robot systems have great potential to render service in diagnosis, risk assessment, monitoring, telehealthcare, disinfection, and several other operations during this pandemic which has helped reduce the workload of the frontline workers remarkably. The long-awaited vaccine discovery of this deadly virus has also been greatly accelerated with AI-empowered tools. In addition to that, many robotics and Robotics Process Automation platforms have substantially facilitated the distribution of the vaccine in many arrangements pertaining to it. These forefront technologies have also aided in giving comfort to the people dealing with less addressed mental health complicacies. This paper investigates the use of robotics and artificial intelligence-based technologies and their applications in healthcare to fight against the COVID-19 pandemic. A systematic search following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) method is conducted to accumulate such literature, and an extensive review on 147 selected records is performed.

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Section: Robotics and Ai Technologies In Covid-19 Healthcarementioning

confidence: 99%

Robotics and artificial intelligence in healthcare during COVID-19 pandemic: A systematic review

Sarker

Jamal

Ahmed

et al. 2021

Robotics and Autonomous Systems

125

View full text Add to dashboard Cite

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“…The study suggests that the addition of some peptides can enhance the immune response [ 190 ]. AI modalities are also used in effective vaccine design and assessing the safety of these vaccines [ 192 , 193 , 194 ].…”

Section: Application Of Ai In Vaccine Development and Deliverymentioning

confidence: 99%

Artificial Intelligence in Surveillance, Diagnosis, Drug Discovery and Vaccine Development against COVID-19

et al. 2021

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As of August 6th, 2021, the World Health Organization has notified 200.8 million laboratory-confirmed infections and 4.26 million deaths from COVID-19, making it the worst pandemic since the 1918 flu. The main challenges in mitigating COVID-19 are effective vaccination, treatment, and agile containment strategies. In this review, we focus on the potential of Artificial Intelligence (AI) in COVID-19 surveillance, diagnosis, outcome prediction, drug discovery and vaccine development. With the help of big data, AI tries to mimic the cognitive capabilities of a human brain, such as problem-solving and learning abilities. Machine Learning(ML), a subset of AI, holds special promise for solving problems based on experiences gained from the curated data. Advances in AI methods have created an unprecedented opportunity for building agile surveillance systems using the deluge of real-time data generated within a short span of time. During the COVID-19 pandemic, many reports have discussed the utility of AI approaches in prioritization, delivery, surveillance, and supply chain of drugs, vaccines, and non-pharmaceutical interventions. This review will discuss the clinical utility of AI-based models and will also discuss limitations and challenges faced by AI systems, such as model generalizability, explainability, and trust as pillars for real-life deployment in healthcare.

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“…Machine learning algorithms such as Support vector machines (SVM), hidden Markov Models, and artificial neural networks (specifically deep learning) have all proven to be faster and more accurate at identifying epitopes [45]. For example, Google DeepMind introduced Alphafold system to find protein structure of COVID-19 virus with Deep Residual Network.…”

Section: Ai For Study Of Protein Structure and Vaccine Developmentmentioning

confidence: 99%

Leveraging Artificial Intelligence (AI) Capabilities for COVID-19 Containment

Surianarayanan

Raj

2021

New Gener. Comput.

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The Coronavirus disease (COVID-19) is an infectious disease caused by the newly discovered Severe Acute Respiratory Syndrome Coronavirus two (SARS-CoV-2). Most of the people do not have the acquired immunity to fight this virus. There is no specific treatment or medicine to cure the disease. The effects of this disease appear to vary from individual to individual, right from mild cough, fever to respiratory disease. It also leads to mortality in many people. As the virus has a very rapid transmission rate, the entire world is in distress. The control and prevention of this disease has evolved as an urgent and critical issue to be addressed through technological solutions. The Healthcare industry therefore needs support from the domain of artificial intelligence (AI). AI has the inherent capability of imitating the human brain and assisting in decision-making support by automatically learning from input data. It can process huge amounts of data quickly without getting tiresome and making errors. AI technologies and tools significantly relieve the burden of healthcare professionals. In this paper, we review the critical role of AI in responding to different research challenges around the COVID-19 crisis. A sample implementation of a powerful probabilistic machine learning (ML) algorithm for assessment of risk levels of individuals is incorporated in this paper. Other pertinent application areas such as surveillance of people and hotspots, mortality prediction, diagnosis, prognostic assistance, drug repurposing and discovery of protein structure, and vaccine are presented. The paper also describes various challenges that are associated with the implementation of AI-based tools and solutions for practical use.

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Computational Intelligence in Vaccine Design Against COVID-19

Cited by 22 publications

References 79 publications

Robotics and artificial intelligence in healthcare during COVID-19 pandemic: A systematic review

Robotics and artificial intelligence in healthcare during COVID-19 pandemic: A systematic review

Artificial Intelligence in Surveillance, Diagnosis, Drug Discovery and Vaccine Development against COVID-19

Leveraging Artificial Intelligence (AI) Capabilities for COVID-19 Containment

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