PancNet-Early
PancNet-Early is a SYNTHETIC/DEMO cancer detection model for early pancreatic cancer risk from ct+labs. Outputs are deterministic demo values — NOT for clinical use. Trained (synthetically) on de-identified multi-modal data.
Multi-modal
Genoma Institute
License: MIT
v2.7.2
RTG 4.6
DL 13,658
Metrics
| Metric | Value | Split |
|---|---|---|
| AUC | 0.891 | Synthetic hold-out |
| Calibration (ECE) | 0.057 | Synthetic |
| Inputs | Outputs |
|---|---|
| CT + serum panel | Risk score + drivers |
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-010-pancnet-early/predict",
headers={"Authorization": "Bearer <API_KEY>"},
json={"input": "<ct + serum panel>"})
print(r.json()) # -> synthetic demo prediction
See the API reference · JSON: /api/models/bf-010-pancnet-early
Version history
| Version | Status | Notes |
|---|---|---|
| v2.7.0 | Archived | Synthetic release note 0 |
| v2.7.1 | Archived | Synthetic release note 1 |
| v2.7.2 | Current | Synthetic release note 2 |
Community contributions: 141 synthetic contributors have submitted evaluations and fine-tunes.