Definition
Development and optimization of cell-based or biological model systems, including experimental conditions and readouts, to answer specific biologic questions; common in services engagements.
Why it matters
For scientific teams:
- Improves robustness and reproducibility.
- Identifies failure points early.
- Enables confident interpretation of data.
For decision-makers:
- Reduces downstream program risk.
- Prevents costly assay redesign.
- Accelerates transition to scaled studies.
FAQ
Q: Why invest in assay development early?
A: It prevents failure during scaling or screening.
Q: What is typically optimized?
A: Conditions, controls, readouts, and performance metrics.