Alex Gavryushkin, Associate Professor of Data Science at the University of Canterbury, is co-leading the work to develop technology that can provide real-time predictions in response to health and biosecurity events.
“Our algorithm can present a range of possible outbreak scenarios rather than the statistically most plausible one, as well as update its predictions in real time,” Gavryushkin said on Monday.
Using artificial intelligence algorithms to inform transmission tracking systems, the technology can use epidemiological and genetic data to track the transmission and spread of the disease, with new data emerging as it emerges, Xinhua reported. It may update the possibilities of the scenarios, Xinhua reports. News agency.
"With this new technology the results can be updated in real time, modifying previous calculations," Gavryushkin said. He said the science can be applied on the scale needed to protect both biosecurity-sensitive industries and livelihoods.
“Once we have this efficient infrastructure for biosecurity algorithms in place, we will be in a far better position to prevent problems before an outbreak begins, and in parallel, by doing difficult, time-consuming pre-calculations.” Will have them," he said.
New Zealand, he said, has a small population and high reliance on biology-based industries, applying powerful AI algorithms to support health, growth and innovation in the larger global economy.
Gavryushkin collaborates on this project with researchers from the University of Auckland, Massey University, the University of Otago and the Institute of Environmental Science and Research.
“Our algorithm can present a range of possible outbreak scenarios rather than the statistically most plausible one, as well as update its predictions in real time,” Gavryushkin said on Monday.
Using artificial intelligence algorithms to inform transmission tracking systems, the technology can use epidemiological and genetic data to track the transmission and spread of the disease, with new data emerging as it emerges, Xinhua reported. It may update the possibilities of the scenarios, Xinhua reports. News agency.
"With this new technology the results can be updated in real time, modifying previous calculations," Gavryushkin said. He said the science can be applied on the scale needed to protect both biosecurity-sensitive industries and livelihoods.
“Once we have this efficient infrastructure for biosecurity algorithms in place, we will be in a far better position to prevent problems before an outbreak begins, and in parallel, by doing difficult, time-consuming pre-calculations.” Will have them," he said.
New Zealand, he said, has a small population and high reliance on biology-based industries, applying powerful AI algorithms to support health, growth and innovation in the larger global economy.
Gavryushkin collaborates on this project with researchers from the University of Auckland, Massey University, the University of Otago and the Institute of Environmental Science and Research.
