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AI Was Supposed To Discover New Drugs. Where Are They?

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Manage episode 514173164 series 2500522
Content provided by Science Friday and WNYC Studios, Science Friday, and WNYC Studios. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Science Friday and WNYC Studios, Science Friday, and WNYC Studios 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://podcastplayer.com/legal.

AI is everywhere these days, and though there’s debate about how useful it is, one area where experts think it could be game-changing is scientific research. It promised to be particularly useful for speeding up drug discovery, an expensive and time-consuming process that can take decades. But so far, it hasn’t panned out.

The few AI-designed drugs that have made it to clinical trials haven’t been approved, venture capital investment in these efforts has cratered in the last few years, and many startups have shut their doors. So why has it been so hard to make AI-designed drugs? What are the fundamental issues, and what does the future of this research look like?

Joining Host Ira Flatow with some answers is Peter Coveney, who studies how chemistry discoveries can be sped up with algorithms and computers.

Guest: Dr. Peter Coveney is a professor and director of the Centre for Computational Science at University College London.

Transcripts for each episode are available within 1-3 days at sciencefriday.com.

Subscribe to this podcast. Plus, to stay updated on all things science, sign up for Science Friday's newsletters.

  continue reading

243 episodes

Artwork
iconShare
 
Manage episode 514173164 series 2500522
Content provided by Science Friday and WNYC Studios, Science Friday, and WNYC Studios. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Science Friday and WNYC Studios, Science Friday, and WNYC Studios 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://podcastplayer.com/legal.

AI is everywhere these days, and though there’s debate about how useful it is, one area where experts think it could be game-changing is scientific research. It promised to be particularly useful for speeding up drug discovery, an expensive and time-consuming process that can take decades. But so far, it hasn’t panned out.

The few AI-designed drugs that have made it to clinical trials haven’t been approved, venture capital investment in these efforts has cratered in the last few years, and many startups have shut their doors. So why has it been so hard to make AI-designed drugs? What are the fundamental issues, and what does the future of this research look like?

Joining Host Ira Flatow with some answers is Peter Coveney, who studies how chemistry discoveries can be sped up with algorithms and computers.

Guest: Dr. Peter Coveney is a professor and director of the Centre for Computational Science at University College London.

Transcripts for each episode are available within 1-3 days at sciencefriday.com.

Subscribe to this podcast. Plus, to stay updated on all things science, sign up for Science Friday's newsletters.

  continue reading

243 episodes

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