Lavo Life Sciences
Predict drug crystal structures to accelerate pharmaceutical development
Target Audience
- Pharmaceutical researchers
- Drug development teams
- Computational chemists
- Formulation scientists
Hashtags
Overview
Lavo uses AI to predict crystal structures of small molecule drugs, helping pharmaceutical companies avoid late-stage development surprises. Their technology identifies optimal drug formulations and discovers hidden polymorphs that could offer better stability or manufacturing properties.
Key Features
AI Prediction
Accelerates crystal structure identification using machine learning
Polymorph Discovery
Finds hidden crystal forms traditional methods might miss
Risk Reduction
Identifies stability issues early in drug development
Formulation Optimization
Helps create more manufacturable drug compounds
Use Cases
Identify stable crystal forms
Discover novel polymorphs
Optimize drug formulations
Accelerate pharmaceutical R&D
Pros & Cons
Pros
- Reduces late-stage development risks
- Faster than traditional experimental methods
- Discovers potentially valuable alternative polymorphs
- Combines AI with pharmaceutical expertise
Cons
- Specialized for small molecules (not biologics)
- Requires experimental validation of predictions
Reviews for Lavo Life Sciences
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