CRISPR Clinical Trials Metadata 2016-2025

AI-extracted structured metadata from approximately 250 CRISPR clinical trials conducted between 2016 and 2025. The data provides a machine-readable view of trial characteristics, though the original author and specific data collection method are unknown.

Use Cases

• Analyze trends in trial phases (e.g., phase I vs. phase III) over the 2016-2025 period.
• Model the relationship between extracted trial metadata fields (e.g., conditions, interventions) and trial status.
• Cluster trials based on AI-extracted features like target disease or sponsor organization.
• Track the geographical distribution or recruitment status across the ~250 trials.

Strengths

• Covers approximately 250 clinical trials.
• Provides a 9-year temporal range from 2016 to 2025.

Limitations

• Specific column names, row counts, and data volume are unknown.
• Data is AI-extracted, which may introduce parsing errors or inconsistencies.
• Lacks sample data to verify structure and completeness.

Provenance

Source

Kaggle

Collection Method

AI-extracted from clinical trial records.

Time Range

2016-2025

Freshness

null

Geography

null