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When AI meets biology: Using LLM to find natural alternatives to antibiotics

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Manage episode 508529297 series 3636979
Content provided by Sébastien Stormacq and Amazon Web Services. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Sébastien Stormacq and Amazon Web Services 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.
In this episode, we explore how Phagos, a French biotech startup, combines biology, data science, and cloud computing to combat antimicrobial resistance. Their innovative approach uses bacteriophages - natural predators of bacteria - as an alternative to antibiotics. We discuss how they leverage AWS services, including SageMaker and batch processing, to analyze genomic data and train specialized language models that can predict phage-bacteria interactions. Our guests explain how they process terabytes of genetic data, train and deploy AI models, and create user-friendly interfaces for their lab scientists. This fascinating conversation reveals how cloud computing and artificial intelligence are revolutionizing biotechnology and potentially helping solve one of this century's biggest health challenges.

With András Asbóth, Bioinformatician / Cloud Dev, Phagos ; With Andrea Di Gioacchino, Head of data, Phagos

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    184 episodes

    Artwork
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    Manage episode 508529297 series 3636979
    Content provided by Sébastien Stormacq and Amazon Web Services. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Sébastien Stormacq and Amazon Web Services 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.
    In this episode, we explore how Phagos, a French biotech startup, combines biology, data science, and cloud computing to combat antimicrobial resistance. Their innovative approach uses bacteriophages - natural predators of bacteria - as an alternative to antibiotics. We discuss how they leverage AWS services, including SageMaker and batch processing, to analyze genomic data and train specialized language models that can predict phage-bacteria interactions. Our guests explain how they process terabytes of genetic data, train and deploy AI models, and create user-friendly interfaces for their lab scientists. This fascinating conversation reveals how cloud computing and artificial intelligence are revolutionizing biotechnology and potentially helping solve one of this century's biggest health challenges.

    With András Asbóth, Bioinformatician / Cloud Dev, Phagos ; With Andrea Di Gioacchino, Head of data, Phagos

  •   continue reading

    184 episodes

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