Supercomputers and machine learning are speeding up medical research
Artificial intelligence and big data are disrupting wildly different sectors such as archaeology, construction, or even communication between humans and animals. Of course, healthcare is not foreign to these innovations. At the University of South California labs, they are using machine learning to adapt existing drugs for coronavirus treatments. The software analyses how different drugs work and their potential effect on the virus. A Korean company has followed similar logic in the search for anti-retroviral agents that can help with the disease. Along the same lines, Deep Mind, a branch of Alphabet, is using its AlphaFold system to provide scientists with a better understanding of SARS-CoV-2. Another example is the supercomputing consortium promoted by a Spaniard scientist. Giants like Microsoft, IBM, Amazon, or Alphabet, together with universities and tech centers like MIT, are offering their vast compute resources fro COVID-19 research.
AI is also being used to analyze the propagation patterns of the virus, as well as creating predictive models. On 30th December 2019, a company specialized in artificial intelligence alerted about a cluster of pneumonia incidents in Wuhan. Moreover, they created a map of journeys from the city to the most common destinations. Eleven cities from that list were some of the first to suffer COVID-19 viral outbreaks.
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