How Ai Is Being Used For Covid-19 Vaccine Creation And Distribution
Tags: aisoftwaredevelopment, aiapplicationdevelopment, ai, aisolutionsinmedical
Published: 2021-07-09 12:58:17

![AI Solutions](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/e4uckqvwe65q4b531wq3.jpg)People all around the globe have started the receiving COVID-19 vaccine or are in the process of getting the first dosage. In the US more than half of all the adults received at least one dose of the vaccine as the local and state officials are trying to get more people vaccinated as soon as possible. Health experts have already expressed that the use of AI (artificial intelligence) will help in creating variants of the vaccine as well as help in the distribution. 

The U.K. was the first country that initiated the distribution of the COVID-19 vaccine. The U.K. witnessed the third-highest number of COVID-19 cases in Europe, with around 1.7 million confirmed cases and more than 60,000 deaths, closely behind France and Italy. The health officials in the U.K. have said that racking the side effects is a mammoth task as the U.K. has a population of around 69 million people.

Technologies like AI (artificial intelligence), ML (machine learning) and NLP (natural language processing) have been deployed to wage war against the COVID-19 virus since the early detection of the pandemic. It all started with the use of AI to track the spread of the pandemic so that scientists could limit the spread of the virus. Not only this but the use of AI also helped get insights from billions of data points and thousands of scientific papers needed to develop the COVID-19 vaccine. Now many AI development companies are making tools that are being used to manage the complex supply chain of vaccine delivery while collecting the data needed to track adverse effects that patients might have after getting vaccinated. 

**Predictive Modeling and AI** 
The predictive model depends on the analysis of historic data which enables the model to predict future events. On the other hand, AI not only uses the past data but also makes assumptions about the data without utilising a defined set of rules. 

This nature of [AI software development](https://www.daffodilsw.com/ai-application-development-solutions) will enable the solution to adapt and learn from data patterns in real-time. AI can be used in various forms and can help experts derive valuable insights. Insights such as which populous to target to flatten the pandemic curve,  how to adjust the supply chain and distribution channels for efficient delivery of the vaccine, so that majority of people may get vaccinated once and to track the side effects of the vaccine. 

**AI In Vaccine Creation**
Experts from Nanotronics (nanotechnology startup in Cuyahoga Falls, Ohio) have been working with top vaccine developers of the world. They are assisted by AI which helps their teams manage the gigantic dump of data that comes with a project of this scale. Even though there are millions of people getting vaccinated daily, the concern is, whether the vaccine will be effective for the upcoming variants of the virus. The biggest challenge presently is the way the treatment is developed and deployed to the masses. 

There are many initiatives taken by governments worldwide to counter the pandemic. Many government websites have a section where people can register and talk about the various side effect that they are experiencing after getting vaccinated. Experts are integrating AI into the government's website to analyse the section where these adverse effects are being reported. This will give a better view of the whole situation that is at hand. 

Now that the vaccines are being distributed rapidly, a technological solution is required to track the vaccine delivery. It will involve a lot of numbers to precisely know where each vaccine dose is and who has received it. Obviously, there would be a lot of varying data sets in different formats and would be a herculean task to manage and feed the data into the system, so that it could make sense. AI will help experts by processing all these varied data sets which would be time taking if a human did it. Yes, this is a complicated task to achieve but it is the need of the hour. 

With the help of AI software development, the solutions created will help governments track vaccine distribution by lots, batches and locations so that any adverse effects stated can be reported back to the drug manufacturers. AI solutions can also provide valuable insights such as age, gender, ethnicity, including other demographic factors that can aid in the creation and delivery of the vaccine. 

AI is helping scientists with the modification of mRNA vaccines. They are now able to reprogram it faster in a better-coordinated way. This was only made possible as the AI could deal with the oceans of data and help experts make intelligent choices derived out of multivariate correlations. They were able to detect potential interventions which could avoid lengthy phases of three trials. AI could also help in building actionable data sets which would allow HCPs (healthcare professionals) to examine the source of the problem or areas where researchers don't have to spend their valuable time. 

When dealing with lipid nanoparticles and the assessment of classification and imaging different features and trends which are huge in scale, it is difficult for humans to manage the process. The use of AI is helping researchers to analyse these images in real-time and is helping to pinpoint genetic mutations and variations. 

With AI software development, solutions can be created for classification and to understand what type of nano compounding is prevalent and understand genomic features. 

**AI In Distribution**
Indeed the distribution of the vaccine is a huge challenge and managing the whole supply chain is a daunting challenge. We are all aware of the inefficiencies of the supply chain process which includes procurement, tracking, delivery logistics and storage. These factors can affect the quantity and availability of the vaccine. It can also cost a lot of money and can damage the reputation of the company when delivery is not made at the proper time in the present pandemic scenario.  

According to John Kahan (chief data analytics officer at Microsoft), who wrote that 50% of AI professionals work for the IT sector while only 3% of AI professionals work in the healthcare sector. He also added that these differences are also disrupting the speed and the reach of technology adoption in pharmaceutical companies. 

The distribution of the vaccine is discussed on a macro-level which is national or state. So the question arises that which locations and subpopulations in a state should the vaccine be allocated to? AI can give insights at a granular level, shedding light on multiple factors such as hospital utilization, current infection area and mobility data to predict multiple possible futures for location within the state. This will help the decision-makers analyse which areas are affected the most and who requires the vaccine urgently. 

**Conclusion**
The problem could be with the local government and their capability to handle the influx of calls, questions and emails. However, AI-powered chatbots are helping in this area by automating appointment scheduling for vaccination. 

The delivery of the vaccine is still something that has been posing issues for government agencies but AI is continuously helping experts improve every day. If you are someone who wants to leverage the power of AI for their business and looking for an [custom software development company](https://www.daffodilsw.com/custom-software-development-company) do visit us.