Published: 09/05/24 11:49 Categories: Microbiology

The presence of new pathogens and resistance to common antimicrobials, such as antibiotics, has driven the prevention of diseases through vaccination. 


Today, most vaccines work by inducing immunity through antibodies. The main types are live attenuated vaccines, inactivated vaccines, RNA messenger vaccines, toxoid vaccines, recombinant vaccines, conjugate vaccines, and viral vector vaccines. 


For vaccines to work, an antigen must be presented to the patient's immune system, and it is in the search for antigens where new technologies come into play. 



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. 



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