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Dataset Information
Weekly clinical trial intelligence covering regulatory progress, sponsor metadata, and modelled outcomes, sourced from SOV.AI. Each row describes a single trial snapshot with rich metadata plus predictive scores for success, duration, and economic impact.
- Coverage: Global clinical trials mapped to corporate tickers or sponsor labels
- Update cadence: Weekly, with an average of 1,052 new trials added per week
- Performance: Predictive models achieving 87% ROC-AUC on held-out validation data
- Contents: Trial identifiers, sponsor information, design details, eligibility, outcomes, site geography, and SOV.AI predictive scores
Data Source
Data provided by SOV.AI. Access programmatically via:
import sovai as sov
df_clinical = sov.data("clinical/trials", full_history=True)
Notes
- Date fields are normalised to ISO-8601 (
YYYY-MM-DD). - Boolean columns use nullable boolean semantics to preserve missing values.
success_prediction,success_composite, andeconomic_effectare probabilistic or index scores between 0–1.duration_predictionandtrial_durationexpress durations in days.
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