How AI is transforming biotechnology through drug discovery, genomics, protein structure prediction, and accelerated clinical research.
Use Cases2
Companies3
Tools2
AI Use Cases in Biotechnology
1
How Recursion and MIT Built Boltz-2 to Cut Drug Discovery Wet Lab Work 40% with NVIDIA
Recursion · Research & Development
40%
Wet lab work reduction for equivalent value
40%Wet lab work reduction for equivalent value
2
How Phagos Uses Generative AI to Develop Antibiotic Alternatives in 2 Months Instead of 10 Years
Phagos · Research & Development
10+ years to 2 months
Treatment Development Time
10+ years to 2 monthsTreatment Development Time
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Popular AI Tools in Biotechnology
NVIDIA NIM
NVIDIA Inference Microservices — containerized, optimized inference endpoints for deploying AI models at production scale.
Amazon SageMaker
Managed machine learning service for building, training, and deploying ML models in the cloud.
Popular AI Tooling Categories in Biotechnology
1
See all Categories →ML Platform
Platforms for building, training, deploying, and governing machine learning models, including ML orchestration, model serving, and AI development environments.