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AI Engineering
MIT Technology Review·Jul 23·5 min read
How AI helps scientists design the next generation of medicines
TL;DR
AI is revolutionizing the design of biologic medicines by accelerating the identification of viable drug candidates and enabling the development of complex therapies. This innovation allows scientists to target previously untreatable diseases more effectively.
✦ Why It Matters
Explore AI tools to enhance your drug design processes and target complex diseases effectively.
Key Takeaways
- Implement AI models to prioritize drug candidates based on predicted success.
- Utilize proprietary datasets to enhance AI training and model accuracy.
- Focus on multi-target biologics to address complex diseases.
- Invest in automation and robotics for high-throughput drug testing.
How It Works
AstraZeneca employs a build-measure-learn loop where AI generates and prioritizes candidate molecules, allowing scientists to concentrate on the most promising options. This iterative process shortens feedback cycles and enhances the ability to explore complex drug design problems.