After the Covid-19 pandemic that lasted for two years, we have personally observed how devastating such epidemics can cause. Scientists have also developed an artificial intelligence application to control epidemics.
As you know, the use of artificial intelligence is a very controversial subject. Artificial intelligence, which has many advantages as well as disadvantages, provides a lot of benefits to science. The latest example of this is the EWAD, called the early warning anomaly detection system.
Possible variants of the virus can be detected weeks in advance!
Scientists at Scripps Research and Northwestern University in the USA developed the early warning anomaly detection system EWAD, which detects possible outbreaks.
Machine learning method was used in the development of EWAD. The developed system was also tested against real data from the spread of Covid-19. EWAD has been very successful in predicting which variants will emerge as the virus mutates.
The software was also able to detect genetic changes as the virus adapted, indicated by increased infection and falling death rates.
William Balch, microbiologist at Scripps Research, said: “As the mortality rate changed, we could see key gene variants emerging and becoming more common, and all this was weeks before VOCs containing these variants were officially identified by the World Health Organization (WHO).” used.
Scientists; He says artificial intelligence algorithms can detect “rules” of virus evolution that would go undetected, which is vital in tackling future pandemics.