BioFoundry AI
AI Cancer Diagnosis

From raw scan to ensemble report

A five-step demonstration workflow: upload a scan, select cancer-detection models, run a weighted ensemble, and get a confidence-scored report with anonymized case comparison — in under 10 minutes.

SYNTHETIC DEMOAll outputs are deterministic demo data — not for clinical use, not real medical inference.
1

Upload Scans

Upload MRI/CT imaging (DICOM, PNG, JPEG). Metadata only — no real image processing.

2

Select Models

Choose from 12 synthetic cancer-detection models to include.

3

Ensemble Analysis

Combine the selected models into a weighted synthetic ensemble.

4

Comprehensive Report

Per-model and ensemble confidence scores with a finding summary.

5

Case Comparison

Compare against similar anonymized synthetic cases.

Step 1 — Upload Scans

Accepted: DICOM / PNG / JPEG / TIFF, up to 10 MB. Stored as metadata only — no raw imaging data retained.

Step 2 — Select Models

Choose from 12 synthetic cancer-detection models. Pre-selected = recommended ensemble.

 Steps 3–5: Comprehensive Report + Case Comparison generated instantly.