New AI model could be used to predict Covid-variant waves, finds research
An artificial intelligence (AI) model can predict which variants of the Covid-causing SARS-CoV-2 virus will likely bring about fresh waves of the infection, a new research has found. The model can detect around 73 per cent of the variants in each country that will cause at least 1,000 cases per 10 lakh people in the three months, following an observation period of one week, and over 80 per cent after two weeks, researchers said. The team from Massachusetts Institute of Technology, US, and The Hebrew University-Hadassah Medical School, Israel, analysed 9 SARS-CoV-2 million genetic sequences across 30 countries, collected by the Global Initiative on Sharing Avian Influenza Data (GISAID). This was combined with data on vaccination rates, infection rates, and other factors. The initiative "promotes the rapid sharing of data from priority pathogens including influenza, hCoV-19, respiratory syncytial virus (RSV), hMpxV as well as arboviruses including chikungunya, dengue and zika," ...
An artificial intelligence (AI) model can predict which variants of the Covid-causing SARS-CoV-2 virus will likely bring about fresh waves of the infection, a new research has found.
The model can detect around 73 per cent of the variants in each country that will cause at least 1,000 cases per 10 lakh people in the three months, following an observation period of one week, and over 80 per cent after two weeks, researchers said.
The team from Massachusetts Institute of Technology, US, and The Hebrew University-Hadassah Medical School, Israel, analysed 9 SARS-CoV-2 million genetic sequences across 30 countries, collected by the Global Initiative on Sharing Avian Influenza Data (GISAID). This was combined with data on vaccination rates, infection rates, and other factors.
The initiative "promotes the rapid sharing of data from priority pathogens including influenza, hCoV-19, respiratory syncytial virus (RSV), hMpxV as well as arboviruses including chikungunya, dengue and zika," ...