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Saturday, March 7, 2020
Coronavirus Competition Results (Remdesivir)
I’m pleased to announce the results of our open-source Coronavirus Drug Discovery Competition! In just 2 weeks, hundreds of developers from around the world signed up to join the fight against the novel coronavirus, using publicly available datasets and algorithms to come up with relevant solutions. The top 3 submissions, winning $3500 in prizes, stood out from the rest in terms of their algorithmic and reporting quality. In this episode, I’m going to announce each of their backgrounds, as well as dive into the various machine learning techniques they used to predict a suitable treatment for Coronavirus. The top submission identified a compound called Remdesivir as the the most promising treatment for COVID-2019, due to its high scoring inhibitory potential when docked against the Coronavirus main Protease. Remdesivir was recently shown to be effective in treating the first US patient infected with COVID-2019, but is currently undergoing clinical trials to gain FDA approval. These findings help confirm it’s potential as an effective COVID-2019 treatment. I’ll explain more in the vid, Enjoy! Winning Submissions Announcement blog-post: https://ift.tt/2PUJ92w Matt O’Connor (1st place): https://ift.tt/38Bcoxz Thomas MacDougall (2nd Place): https://ift.tt/3aEQjjs Tinka Vidovic (3rd Place): https://ift.tt/2VXgGNd Subscribe for more educational videos! It means a lot to me. TWITTER: https://bit.ly/2OHYLbB WEBSITE: https://bit.ly/2OoVPQF INSTAGRAM: https://bit.ly/312pLUb FACEBOOK: https://bit.ly/2OqOhx1 Original Coronavirus Competition Video: https://www.youtube.com/watch?v=1LJgkovowgA Are you a total beginner to machine learning? Watch this: https://www.youtube.com/watch?v=Cr6VqTRO1v0 Learn Python: https://www.youtube.com/watch?v=T5pRlIbr6gg Signup for my newsletter for exciting updates in the field of AI: https://goo.gl/FZzJ5w Credits: Coronavirus Drug Discovery competitors Github open-source community Scientific American Image assets are from across the Web Hit the Join button above to sign up to become a member of my channel for access to exclusive live streams! And please support me on Patreon: https://ift.tt/2cMCk13
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