Matching phages required screening trillions of options. Gen AI simulates interactions, cutting discovery from 10 years to 2 months.
A biotech startup combating antimicrobial resistance, where one in three antibiotics is ineffective in animal farming and traditional drug development takes ten years.
Finding the right virus to neutralize specific bacteria required manually screening trillions of potential combinations. This exponential complexity...
“With Amazon SageMaker AI, we can create and run gen AI models that rapidly match phages to each target bacteria, which takes phage therapy from a manual trial-and-error process to precision medicine at scale.”
AI-powered phage therapy platform for sustainable bacterial treatment in livestock.
Silos forced teams to manually chase data. Now, AI agents identify adverse events in seconds, eliminating weeks of cross-referencing.
Attorneys juggled fragmented tools to search 50,000 cases. An AI orchestrator now routes queries to sub-agents in a single chat.
Lab supply orders were handwritten in notebooks. Digital ordering now takes seconds, saving 30,000 hours for research annually.
Experts spent 15 minutes pulling data from scattered systems. Natural language prompts now generate detailed reports instantly.