Can artificial intelligence develop vaccines?

Artificial Intelligence and Reverse Technology (RT)  

Artificial intelligences are based on prediction models to assess large amounts of data, thus finding potential antigens and reducing the experimental phase. 

AI can be configured to target molecular targets with a low mutation rate. They monitor genetic changes among disease strains over time to choose the most stable regions and generate a vaccine that ensures effectiveness over time. 

On the other hand, there is the generation of vaccines through Reverse Technology (RT). RT is a computational tool for searching for possible antigens by analyzing the bacterial or viral genome. Its main goal is to eliminate the need for traditional cultures. 

This tool has been made possible by advances in genomic sequencing, becoming faster and cheaper. An example of an RV vaccine was the vaccine against Neisseria meningitidis, one of the causes of meningitis. 

RT does not require modern AI; however, they are beginning to be used together, with artificial intelligences incorporating Reverse Technology for vaccine development. Another example of AI and RT was the search for a vaccine for antibiotic-resistant strains of Acinetobacter baumannii, responsible for multiple nosocomial infections. 

Advancement to other areas 

Although their main focus is data analysis for development phases, AI is also starting to be used in production, distribution, and commercialization phases. 

In manufacturing plants, they are combined with cameras to detect risks and improve occupational safety. In distribution and commercialization, they aim to help with demand prediction or improve communication with virtual assistants. 

More and more sectors are incorporating these work tools, and vaccine-producing companies are no exception.