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202: AI vs. Superbugs: Can AI Help?

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Manage episode 504489415 series 2930024
Content provided by Luis Plaza. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Luis Plaza 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.

Antimicrobial resistance (AMR) continues to grow as a global health threat, making infections harder to treat and leaving fewer options for patients. The need for new antibiotics is an urgent matter — but traditional discovery methods are slow and limited.

In this episode of Let’s Talk Micro, Luis is joined by Dr. James Collins, professor at MIT and researcher at the Broad Institute, who is leading efforts to apply AI to antibiotic discovery. We discuss how his team used deep learning to uncover promising new compounds, including NG1 and DN1, which showed activity against drug-resistant Neisseria gonorrhoeae and Staphylococcus aureus. We also talk about the challenges of bringing discoveries from computer models to the clinic, and what this approach could mean for the future of the fight against superbugs.

Link to study: https://www.cell.com/cell/abstract/S0092-8674%2825%2900855-4

Check out the website: https://www.letstalkmicro.com/

Questions? Feedback? Send those to [email protected]

Want to support the podcast? Here's how:

Venmo: https://venmo.com/u/letstalkmicro

Buy me a Ko-fi: https://ko-fi.com/letstalkmicro

  continue reading

209 episodes

Artwork

202: AI vs. Superbugs: Can AI Help?

Let's Talk Micro

32 subscribers

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Manage episode 504489415 series 2930024
Content provided by Luis Plaza. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Luis Plaza 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.

Antimicrobial resistance (AMR) continues to grow as a global health threat, making infections harder to treat and leaving fewer options for patients. The need for new antibiotics is an urgent matter — but traditional discovery methods are slow and limited.

In this episode of Let’s Talk Micro, Luis is joined by Dr. James Collins, professor at MIT and researcher at the Broad Institute, who is leading efforts to apply AI to antibiotic discovery. We discuss how his team used deep learning to uncover promising new compounds, including NG1 and DN1, which showed activity against drug-resistant Neisseria gonorrhoeae and Staphylococcus aureus. We also talk about the challenges of bringing discoveries from computer models to the clinic, and what this approach could mean for the future of the fight against superbugs.

Link to study: https://www.cell.com/cell/abstract/S0092-8674%2825%2900855-4

Check out the website: https://www.letstalkmicro.com/

Questions? Feedback? Send those to [email protected]

Want to support the podcast? Here's how:

Venmo: https://venmo.com/u/letstalkmicro

Buy me a Ko-fi: https://ko-fi.com/letstalkmicro

  continue reading

209 episodes

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