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Phenomics + computer vision for drug discovery with Imran Haque (Recursion Pharma)

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Manage episode 269861109 series 2769784
Content provided by Anika Gupta. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Anika Gupta or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.

Conventional drug discovery ignores the spatial relationships between cells when assessing the effects of drugs. I talk with Imran Haque, VP of Data Science at Recursion Pharmaceuticals, about their data-first approach that combines "cell painting" with deep learning to assess changes in cellular morphology, thus providing a crucial lens into the molecular wirings of a given drug's mechanism of action. We discuss his team's work in repurposing therapies to tackle COVID-19 and what it takes to successfully merge deep learning with cellular images in a way that yields therapies.

Check out the glossary of terms, definitions, and resources (and get a sneak peak of the future conversations lined up!) here: bit.ly/datapulse-glossary

--- Support this podcast: https://podcasters.spotify.com/pod/show/the-data-pulse/support
  continue reading

25 episodes

Artwork
iconShare
 
Manage episode 269861109 series 2769784
Content provided by Anika Gupta. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Anika Gupta or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.

Conventional drug discovery ignores the spatial relationships between cells when assessing the effects of drugs. I talk with Imran Haque, VP of Data Science at Recursion Pharmaceuticals, about their data-first approach that combines "cell painting" with deep learning to assess changes in cellular morphology, thus providing a crucial lens into the molecular wirings of a given drug's mechanism of action. We discuss his team's work in repurposing therapies to tackle COVID-19 and what it takes to successfully merge deep learning with cellular images in a way that yields therapies.

Check out the glossary of terms, definitions, and resources (and get a sneak peak of the future conversations lined up!) here: bit.ly/datapulse-glossary

--- Support this podcast: https://podcasters.spotify.com/pod/show/the-data-pulse/support
  continue reading

25 episodes

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