PolyRisk-Score
PolyRisk-Score is a SYNTHETIC/DEMO genomics model for polygenic risk score estimation. Outputs are deterministic demo values — NOT for clinical use. Trained (synthetically) on de-identified tabular data.
Tabular
DeepCell AI
License: CC-BY-4.0
v4.8.3
RTG 4.6
DL 420,110
Metrics
| Metric | Value | Split |
|---|---|---|
| AUC | 0.836 | Synthetic hold-out |
| Calibration (ECE) | 0.039 | Synthetic |
| Inputs | Outputs |
|---|---|
| Genotype array | Trait PRS + percentile |
Run a synthetic prediction
Returns a deterministic synthetic result — clearly labeled, not for clinical use.
API integration
Call this model from your pipeline (demo — no real key required):
import requests
r = requests.post("https://api.biofoundry.ai/v1/models/bf-027-polyrisk-score/predict",
headers={"Authorization": "Bearer <API_KEY>"},
json={"input": "<genotype array>"})
print(r.json()) # -> synthetic demo prediction
See the API reference · JSON: /api/models/bf-027-polyrisk-score
Version history
| Version | Status | Notes |
|---|---|---|
| v4.8.0 | Archived | Synthetic release note 0 |
| v4.8.1 | Archived | Synthetic release note 1 |
| v4.8.2 | Archived | Synthetic release note 2 |
| v4.8.3 | Current | Synthetic release note 3 |
Community contributions: 99 synthetic contributors have submitted evaluations and fine-tunes.