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

The AWS Developers Podcast

A tartalmat a Sébastien Stormacq and Amazon Web Services biztosítja. Az összes podcast-tartalmat, beleértve az epizódokat, grafikákat és podcast-leírásokat, közvetlenül a Sébastien Stormacq and Amazon Web Services vagy a podcast platform partnere tölti fel és biztosítja. Ha úgy gondolja, hogy valaki az Ön engedélye nélkül használja fel a szerzői joggal védett művét, kövesse az itt leírt folyamatot https://hu.player.fm/legal.

10d ago 38:27

MP3•Epizód kép

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

Phagos

NextFlow

184 epizódok

#Tech #Sébastien Stormacq #Amazon Web Services