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Mr. Mudit Jain, VinBrain's Vice President of Product Development in the US. (Photo: Bao Phap Luat)

Teams participating in the competition will develop models based on artificial intelligence (AI) to achieve two goals: reopen society safely and limit negative impacts on the economy while minimizing the likelihood of an outbreak of the SARS-CoV-2 virus.

Based on the jury's assessment of the AI prediction and the infection patterns of participating teams, the jury selected 48 teams from 17 countries to enter the final round, out of a total of 104 teams from 28 countries in the semi-finals.

Under the guidance of Mr. Mudit Jain, VinBrain's Vice President of Product Development in the US, the "VinTeam" developed an AI-applied solution to accurately diagnose COVID-19 infections and submit out the intervention options. In fact, different countries and regions have different infection patterns. As a result, a method of intervention may work in a country or region, but less effective in others.

Members of VinBrain in the US have come up with an extensive solution to this problem by developing separate AI models for each region to predict the infection time series of the COVID-19 pandemic in those areas. The VinTeam developed this solution based on a traditional epidemiological technique called the SEIR model, which was then integrated with AI to be a dynamic model, instead of a static traditional approach. To train its AI models, the team uses available features/data such as demographic data, medical infrastructure, and economic indicators.

Launched in November 2020, The Pandemic Response Challenge was co-organized by XPRIZE and Cognizant. (Photo: XPRIZE)

A special feature used by the team is Google Maps mobile metrics collected from Android phones around the world in an anonymous and secure method, measuring the movements of populations in public areas such as parks, hospitals, workplaces, grocery stores, railway stations, airports ... Another unique feature that the team uses is Google's COVID-19 infection trend data, which is collected and incorporated anonymously and contains popular Google search queries regarding COVID-19 infection symptoms.

The competition's jury selected the VinTeam team for the final round based on the accuracy of the AI ​​models and the ability to interpret the solution's predictions. In addition, this solution's approach can be used for any possible pandemic response model in the future.

“We aim to maximize the power of collaboration, competition, and innovation to accelerate solutions that can be applied for COVID-19 and future pandemics,” said Amir Banifatemi, Chief Innovation and Growth Officer at XPRIZE. "The contest has given encouraging results in a very short time, reflecting the application of AI in the society.”

"The Pandemic Response Challenge" is sponsored by XPRIZE, the unit that designs and operates competitions to address the great challenges of humanity. The contest is co-organized by Cognizant, considered one of 15 iconic companies in the US, operating extensively in the field of information technology, business process development, and consulting. Contest organizers also hope the competition will promote the use of AI and data in addressing other humanitarian challenges. The results of the contest will be announced at the end of this February.

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