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

The AWS Developers Podcast

Sébastien Stormacq and Amazon Web Services에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 Sébastien Stormacq and Amazon Web Services 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.player.fm/legal.

1M ago 38:27

MP3•에피소드 홈

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

187 에피소드

#Tech #Sébastien Stormacq #Amazon Web Services