The journey is cyclical, powered by data:
- Data Intake: Feeding the model proprietary patient data, genomic sequences, and existing compound libraries.
- Modeling: Training Deep Learning models to recognize patterns that correlate drug structure with biological outcome.
- Prediction & Validation: Generating a prioritized list of high-potential drug candidates (hits).
- Optimization: Fine-tuning the structure for improved bioavailability, stability, and reduced toxicity.
About the Author
