GymCoach
근력 트레이닝 기록 및 개인 AI 코치
CancerBot은 암 치료 임상시험을 빠르고 쉽게 찾아주며, 무료 가입 후 치료 정보를 입력하면 몇 분 안에 매칭됩니다
CancerBot helps you find clinical trials for cancer treatment quickly and easily. Sign up for free, share your treatment details, and get matched with potential trials in minutes.
건강Python · TypeScriptGitHub @healthkey-ai온라인운영자 미확인
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1분 만에 확인하기the EXACT trial clinical matching engine (EXtracting Attributes from Clinical Trials) used by CancerBot
저장소 README에서 가져옴
README 전체를 불러오는 중입니다. 아래는 저장된 발췌입니다.
EXACT (EXtracting Attributes from Clinical Trials) is a stateless search and
matching engine for clinical trials. It connects to an external database that
holds the trial catalog and reference data — EXACT does not own or manage that
data.
Patient profiles are passed inline with each API request. They can also be retrieved from an external database that has a PatientInfo table in the form implemented by CTOMOP, which exposes a flat projection of a patient record from underlying OMOP tables.README 전문 보기 ↗EXACT (EXtracting Attributes from Clinical Trials) is a stateless search and matching engine for clinical trials. It connects to an external database that holds the trial catalog and reference data — EXACT does not own or manage that data.
Patient profiles are passed inline with each API request. They can also be retrieved from an external database that has a PatientInfo table in the form implemented by CTOMOP, which exposes a flat projection of a patient record from underlying OMOP tables.
API_SURFACE.md — full REST API reference (endpoints, patient context schema, query params, response shapes).
| Doc | Description |
|---|---|
| docs/overview.md | Architecture, key components, data flow |
| docs/trials4patients.md | Running trial search for patients |
| docs/evaluator.md | Evaluating EXACT results against ground truth |
| docs/setup.md | Local development setup |
| API_SURFACE.md | REST API reference |
To match patients from an external patient database against the trial catalog without a running web server:
export TRIALS_DATABASE_URL=postgresql://...
export PATIENT_DATABASE_URL=postgresql://...
bash scripts/trials4patients.sh
See docs/trials4patients.md for all options and output structure.
To score EXACT results against a ground-truth CSV:
RESULTS_CSV=results.csv bash scripts/trials4patients.sh
bash scripts/evaluator/evaluate.sh scripts/evaluator/ground_truth.csv results.csv
See docs/evaluator.md for metrics, full workflow, and output options.
pip install -r requirements.txt
# Local DB for auth/tokens only
python manage.py migrate
# Point to the external trials database
export TRIALS_DATABASE_URL=postgresql://readonly:[email protected]:5432/trials
python manage.py runserver
When no external trials database is configured, EXACT falls back to a single local database for everything — useful for development and testing:
pip install -r requirements.txt
python manage.py migrate
python manage.py seed_reference_data
python manage.py runserver
Once the server is running, search for trials with curl:
curl -s -H "Authorization: Token <your-token>" \
'http://localhost:8000/trials/?type=eligible' \
-H 'Content-Type: application/json' \
-d '{"patientInfo": {"disease": "multiple myeloma", "patientAge": 55, "gender": "M"}}' | python -m json.tool
See docs/setup.md for full setup instructions, environment variables, secrets management, and test configuration.