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As the COVID-19 pandemic continues to infect people across the world, a technological application already familiar to many in the biotech field is lending a key supporting role in the fight to treat and stop it: artificial intelligence (AI).
AI is currently being used by many companies to identify and screen existing drugs that could be repurposed to treat COVID-19, aid clinical trials, sift through trial data, and scour through patient electronic medical records (EMRs). The power of AI in COVID-19 is that it is being used to generate actionable information – some of which would be impossible without AI — much more quickly than before.
A simple definition of AI is the ability of a computer to rapidly think and learn. AI utilizes machine learning to analyze large amounts of data. It can also model predictions, screen virtually and develop insights that can be used to advance Research and Development and make patient medical assessments.
AI hasn’t always been embraced by the biotech industry, says Ronald Dorenbos, PhD, MSc, director and founder of consulting firm BioFrontline and a former head of innovation and scouting at Takeda. “A lot of the conservatism that was there in the industry is now kind of disappearing,” Dorenbos says. “Even some of these people that were against using [AI and machine learning], they now see the... Want to read the full article? View it from GEN – Genetic Engineering and Biotechnology News Blog.
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