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Endigest AI Core Summary
Databricks Site Feasibility Workbench brings clinical operations intelligence to the Lakehouse, enabling AI-driven site selection by training ML models on institutional historical data rather than industry benchmarks.
•Uses LightGBM models trained on sponsor's CTMS, EDC, IRT history with SHAP explainability for auditable predictions
•Eliminates external systems by running application, models, and data on single Databricks platform with no external API calls
•SHAP explanations stored in Unity Catalog enable fairness audits and regulatory compliance with FDA GMLP guidance
•Addresses 53% of trials exceeding enrollment timelines by improving site feasibility accuracy
•Open-source deployment into existing Databricks workspace takes approximately 30 minutes
This summary was automatically generated by AI based on the original article and may not be fully accurate.