Search and analyze clinical trial data from the CT.gov API.
npx skills add https://github.com/DrMoony/PharmaNova --skill trial-galaxy
Please help me install this Agent Skill. Skill: trial-galaxy Source: https://github.com/DrMoony/PharmaNova/tree/main/.claude/skills/trial-galaxy Command: npx skills add https://github.com/DrMoony/PharmaNova --skill trial-galaxy
This Skill streamlines the search, analysis, and visualization of clinical trial data, providing valuable insights into trial landscapes and head-to-head comparisons.
To initiate a clinical trial search, use the trial-galaxy skill with the command 'search clinical trials for GLP-1/GCGR dual therapy'.
High-intent search queries and answers about installing and using this skill.
You can search clinical trials via the CT.gov API by specifying conditions, phases, and sponsors to retrieve and visualize relevant trial data for your therapeutic area.
Analyzing clinical trial enrollment data is best handled by generating enrollment bubble charts and phase distributions, providing clear visual insights into trial participation metrics.
Yes, you can compare competing clinical trials head-to-head to assess differences in trial design, enrollment status, and sponsor influence within a specific therapeutic landscape.
Sponsor assessment is fully supported, allowing you to evaluate and visualize sponsor influence and distribution across the clinical trial landscape for specific conditions.
You can visualize a clinical trial landscape by searching specific therapies like GLP-1/GCGR dual therapy, then analyzing trial counts, enrollment status, and phase distributions.
Searching clinical trials by phase and condition depends entirely on the data available through the CT.gov API, meaning analysis is constrained by the registry's metadata completeness.
OwnLabAIQuery ClinicalTrials.gov API v2 to search and export trial data.
modu-aiConvert datasets into diagrams or interactive dashboards using Mermaid, Recharts, Chart.js, Tremor, or ECharts.
robinbarvaagGenerate interactive scientific and statistical data visualizations with Python Plotly.
maziyarpanahiFind ClinicalTrials.gov studies by condition, intervention, and recruitment status.
