BiotechnologyResearch & Development

How Phagos Uses Generative AI to Develop Antibiotic Alternatives in 2 Months Instead of 10 Years

French biotech Phagos uses Amazon SageMaker AI to match phages to bacteria 99.5% faster, cutting treatment development from 10+ years to 2 months and reducing wet lab testing by 50%.

Outcomes

10+ years to 2 monthsTreatment Development Time
99.5% fasterPhage Screening Speed
50%Wet Lab Testing Reduction
500,000+Animals Treated

Tools & Technologies

1AS
Amazon SageMaker
Managed machine learning service for building, training, and deploying ML models in the cloud.

AI Categories

Challenge

Antibiotic resistance kills 1M+ annually. Traditional phage matching is manual with trillions of possible combinations. New drugs take 10+ years and billions.

Solution

Built Alphagos platform on Amazon SageMaker AI to train generative AI models on genomic data for predicting phage-bacteria interactions at scale.

Full Story

Antibiotic resistance causes at least one million deaths annually. Bacteria develop immunity faster than new antibiotics can be created (10+ years and billions of dollars per drug). Traditional phage therapy matching is manual and impractical due to trillions of possible phage-bacteria combinations.

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