900 parsed clinical trial records provide structured intelligence on study purpose, intervention arms, trial duration, and primary endpoints. The dataset is drawn proportionally across all development phases, including Phase I through IV and observational studies, with enriched representation of early-phase trials. It was created by PatSnap and last updated on 2026-04-22.
Use Cases
- Training NLP models to extract structured parameters like study purpose and endpoints from clinical trial text.
- Analyzing the distribution and design of clinical trials across different development phases.
- Building predictive models for trial outcomes based on features like intervention arms and trial duration.
Strengths
- Contains 900 deeply parsed clinical trial records.
- Records are drawn proportionally across all development phases (Phase I-IV and observational studies).
- Includes enriched representation of early-phase trials.
Limitations
- Column-level documentation is absent; field semantics must be inferred after download.
- Row count is unknown, which may limit suitability assessment.
- Last updated 2026-04-22 09:12:08; freshness should be verified.
Provenance
- Source
- PatSnap
- Collection Method
- Parsed from raw clinical trial registry text.
- Freshness
- Last updated 2026-04-22 09:12:08.
- Geography
- Global