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%.
Impact
10+ years to 2 months
Treatment Development Time
99.5% faster
Phage Screening Speed
50%
Wet Lab Testing Reduction
500,000+
Animals Treated
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.
Tools & Technologies
Amazon SageMaker AIWhat Leaders Say
“With Amazon SageMaker AI, we can create and run gen AI models that rapidly match phages to each target bacteria.”
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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.
Phagos uses Amazon SageMaker AI to train generative AI models on genomic datasets that predict phage-bacteria interactions. Their Alphagos platform automates what was previously trial-and-error, enabling precision medicine at scale.
Treatment development dropped from 10+ years to 2 months. Wet lab testing requirements reduced 50%. Phage screening is 99.5% faster (10 minutes vs 29 hours per bacteria). Over 500,000 animals have been treated in France deployments.