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AI x Vaccine | Commentary on development, prediction of vaccination timing, future trends, etc.!

Table of Contents 

  • Prediction of the 6th wave by AI
    • How much does a third dose of vaccine prevent spread?
  • Predicting when vaccination is possible using AI
    • NewsDigest
  • Vaccine development using AI
    • Two points to save time
  • Vaccine passport using face recognition by AI
  • What will happen to AI x Vaccines in the future?
  • summary

Prediction of the 6th wave by AI

The increase and decrease in the number of people infected with the new coronavirus has cyclical characteristics, and so far the number of infected people has alternated between periods of flattening and periods of rapid increase. Japan has already reached the “1st to 5th waves”, and now the 6th wave that will come next is being wary.

As a result of AI analyzing the increase and decrease in the number of people infected with the coronavirus by combining various conditions such as the flow of people, weather conditions, and vaccination status, it was found that the number of people infected with the new coronavirus increased again in December. It was predicted that the 6th wave would start and peak around mid-January next year.

In December, the effect of the vaccine will fade and the opportunity to eat and drink at the end of the year will increase, so there are concerns about a rapid increase in the number of infected people.

How much does a third dose of vaccine prevent spread?

So, how much can the spread of infection be prevented by inoculating the third dose of the vaccine that is now a hot topic?

Professor Akimasa Hirata of Nagoya Institute of Technology, an expert in analysis using AI prediction, has published research data on the need for a third vaccination.

Research data suggests that vaccine efficacy will continue to decline if the third dose is not followed, while vaccine efficacy remains largely intact if the third dose is given.

From these predictions, it can be said that the third vaccination is very effective in deterring the spread of infection.

Predicting when vaccination is possible using AI

The government is planning to vaccinate against the new coronavirus for all citizens over the age of 16 who wish to. About 70% of the population needs to be vaccinated to establish herd immunity. For that reason, smooth vaccination is important.

NewsDigest

JX Press, Inc. has developed an app called NewsDigest. The app predicts when an AI will be available for a user to be vaccinated.

This app was launched in February this year. Many people who want to be vaccinated are now able to finish two doses, but this feature will also be useful when the third dose starts.

Vaccine development using AI

Vaccines for the new coronavirus using AI are also being developed.

For example, in recent years, proteins have been attracting attention as playing a central role in the development of novel coronavirus vaccines.

Viruses are made up of RNA and surrounding proteins. Therefore, it can be said that the development of research on understanding the structure of proteins means the development of research on understanding the structure of viruses.

However, it takes a lot of time and effort to elucidate the structure of proteins through experiments. Such studies typically require many months of time and many resources.

Structural information about viruses is essential for understanding their properties and creating effective vaccines in research on new viruses.

Thanks to the development of AI, it is now possible to predict the three-dimensional structure of even very complex proteins with high accuracy. In this way, the involvement of AI in development has made it possible to reduce the cost and time required for development.

Two points to save time

Moderna’s vaccine development is said to have succeeded in shortening the time by about 90%. The following two points were the factors.

Data centralization

Centralizing data means putting it all together in one place and making it easier to use. By collecting data in one place, we can prepare for the introduction of AI smoothly and facilitate smooth communication between people in various departments.

Utilization of AI and automated production robots

Moderna leverages centralized data in the cloud to apply AI throughout drug development.

For example, by using AI, it is possible to quickly create tens of thousands of gene sequence combinations necessary for vaccine development.

In addition, AI image recognition technology has made it possible to automate and streamline the quality inspection of vaccines, which has traditionally been done visually by humans.

Vaccine passport using face recognition by AI

Now that many people who want to be vaccinated against the new coronavirus have completed two vaccinations, vaccine passports that use AI-based face recognition are attracting attention.

Daiwa Tsushin Co., Ltd. released “Face Four Pass” on November 12, 2021, which reads a digital vaccine passport and performs face authentication. Face Four Pass includes the following 4 features:

1. Digital vaccine passport reading

By holding the digital vaccine passport issued in QR code or bar code over the terminal, the confirmation result will be notified in real time by voice.

2. Temperature measurement and judgment of wearing a mask

By holding your face over the terminal, you can measure the temperature and determine whether you are wearing a mask. For those who are not wearing masks, voice announcements will encourage them to do so. This can reduce the burden of “calling out” to employees and staff.

3. Security camera function

Since it has a live view function, remote monitoring is also possible through a dedicated application. If you connect it to a separate recorder, it can be used as a security camera, so it can be used even after the coronavirus is over.

Four. Attendance management function

Optional access control and time and attendance applications can be provided. It is suitable for reducing labor costs for attendance management and for small and medium-sized access control.

What will happen to AI x Vaccines in the future?

AI is currently evolving due to advances in technology, and in 2019, the world’s first AI-based influenza vaccine was created.

In addition, we found that AI can greatly contribute to the prediction of vaccination timing and vaccine development due to the epidemic of the new coronavirus.

By utilizing AI, it is possible to shorten the conventional drug development process, which takes many years. In the future, AI will be involved in the development of vaccines against various diseases.

summary

In this article, we have introduced predictions of the spread of new coronavirus infections by AI, vaccine development using AI, and vaccine passports.

You understand the importance of the third vaccination, and how AI is active in the medical field.
Please help us to consider future vaccinations.

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