ARATUS
Reference Class Forecasting (RCF) for Organ-on-Chip Labs
An empirical decision-support system designed to counter laboratory optimism bias. Grounded in Nature and STAR Protocols baseline timelines and calibrated against historical fat-tail execution risks.
Custom Lab Calibration
Want to improve forecast accuracy? This engine can be integrated with your own lab's historical ELN logs and procurement data to refine public baselines with your team's actual variance distributions.
Forecast Results
Ideal "Inside View" Timeline: -
Realistic Expectation (P50 / Median):
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50% of comparable lab projects complete within this timeframe.
Safe Delivery Schedule (P75 / 3rd Quartile):
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Recommended for high-stakes planning. Based on the 75th percentile reference-class uplift.
Included Milestone Steps:
Literature Source DOI: -