AI Tackle COVID-19

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Expert System (h)

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History Chapter 2

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Piaget's Theory of Cognitive Development

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AI Tackle COVID-19

Conclusion

In summary, AI is helping in the development of COVID-19 vaccines by processing and organizing complex and massive data, identifying effective vaccine targets, and predicting the immune system's response to the virus. The use of AI has greatly shortened the development time of vaccines and can potentially save many lives.

Procedure

AI helps scientists process and organize complex and massive data to speed up vaccine development.

AI is a powerful catalyst that can draw insights by combining data from multiple sources.

By using AI, scientists can analyze data that would have been too challenging to process manually.

AI can study the proteins that make up the virus and classify thousands of components to identify the ones that are most likely to trigger a strong immune response.

Machine learning can give a numerical score on the effectiveness of a vaccine, saving time in lab testing.

AI can also predict which virus fragments are most likely to be recognized by the immune system.

Teams of computer scientists have used AI to make a list of targets on the novel coronavirus that are most likely to provoke an immune response.

Introduction

Key term

RNA vaccine, weakened-virus vaccine, protein vaccine, receptor, immune system, pathogen, innate immune response, adaptive immune response, white blood cells, B cells, T cells, antibodies, machine-learning system, computational analysis.

Background information

The COVID-19 pandemic has caused millions of deaths and the vaccine has become crucial. Traditional vaccine development takes years, but AI has shortened the development time.

Purpose

The purpose of using AI is to speed up the development of vaccines and save lives during the COVID-19 pandemic.

Scope

AI plays a crucial role in the development of COVID-19 vaccines, using computer science, AI, and biomedical science.