Scientists Have Recently Developed A New Artificial Intelligence System Called Ewadthe Developer Aims To Predict And Identify The Next Epidemics Worldwide.

This system, which has been trained with accurate data from Covid-19, has provided researchers with accurate and correct information in the initial tests.

We all know how devastating the Covid-19 pandemic has been around the world, and if it weren’t for the efforts of scientists and health workers, the situation could have been even worse. But is there a way to predict the next strain of the virus before it becomes a global threat?

It seems that a new artificial intelligence system can make this idea a reality. According to a study by scientists from Scripps Research and Northwestern University in the United States, artificial intelligence can warn us about the emergence of dangerous viruses in future epidemics.

EWAD anomaly warning system

Early warning anomaly detection artificial intelligence system ( EWAD) uses machine learning to analyze viruses’ genetic sequence, frequencies, and mortality rates worldwide to warn us about the next pandemic.

EWAD artificial intelligence system researchers on accurate data related to the disease of COVID-19 tested and found that the system could accurately predict which species of concern ( VOCs) are created when the virus mutates. The plan was also able to estimate how public health measures such as vaccines and mask use

affect the evolution of viruses.

The results of this research in Cell Patterns magazine show that EWAD can identify potential threats even before their official approval by the World Health Organization ( WHO) .), to help us deal with future epidemics.

William Balch ( William Balch), a microbiologist at Scripps Research, about the artificial intelligence system EWAD explains:

This system can identify patterns and rules related to virus evolution. In addition, EWAD can provide important information regarding the basic biology of viruses and how they adapt to the surrounding environment.

All these things can be very useful in treating and preventing the following global epidemic and help researchers in the emergence of new viruses.