Advancing Biologic Developability Predictions to Enhance Drug Design & Accelerate Time-to-Market
Time: 2:00 pm
day: Conference Day Two
Details:
- Explore innovative computational approaches to predict developability properties such as aggregation, solubility, and stability for biologic molecules, including peptides, antibodies, and conjugates
- Examine the integration of early-stage predictive models with experimental data to minimize costly trial-and-error during drug development, ultimately accelerating the timeline
- Discuss the potential of using AI/ML to forecast biologic behavior in preclinical stages, improving the likelihood of clinical success and reducing expensive late-stage failures
