Clinical-Trial-Prompts
importedsoftware/clinical-trial-prompts
A Python tool for structured analysis of clinical trial eligibility criteria by extracting and organizing atomic criteria into logical structures.
Machine-generated from the listed sources and not yet reviewed by a human.
- Category
- Software & Systems
- Subcategory
- unknown
- License
- MIT(osi)
- Status
- maintained
- Maturity
- deployed
- Organization
- unknown
- Country
- unknown
- Homepage
- unknown
- Documentation
- unknown
- Tags
- cancer · clinical-trials · llm · nlp · openai-api
- Regulatory
- unknown
Top contributors by commit count, from the project’s public repository. Avatars are served by their origin, not stored here. To be removed from this list, open an issue.
Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.
- EliIEclinical-trials · nlp
An information extraction system for free-text eligibility criteria
- ci4cc-informatics-resourcescancer · clinical-trials
Community-maintained list of resources that the CI4CC organization and the larger cancer informatics community have found useful or are developing.
- oncoteamcancer · clinical-trials
AI patient advocacy tool for cancer treatment. Understand labs, find clinical trials, track treatment — all from your phone. Open source, used in active treatment.
- clinicaltrials-mcpclinical-trials · llm
Conversational access to 400,000+ clinical trials. Python MCP server for ClinicalTrials.gov
- cactusllm · nlp
LLM Agent that leverages cheminformatics tools to provide informed responses.
- CPsyCounllm · nlp
[ACL 2024] CPsyCoun: A Report-based Multi-turn Dialogue Reconstruction and Evaluation Framework for Chinese Psychological Counseling
- api.github.com/repos/judacas/Clinical-Trial-Promptsretrieved 2026-08-05 · via github-api
Machine-imported from GitHub search. Last push 2025-10-20, 4 stars, license reported as MIT. Category and schematic were assigned by keyword heuristics and are unreviewed.
Not yet verified by a human. Correct this record →
/v1/entries/39.json→ .entries["clinical-trial-prompts"]
Entries are sharded 64 ways by a stable hash of the id, so a consumer can find any record without an index.