Our AI-Powered Pipeline
Takes patient data from upload to actionable clinical insight in four streamlined steps
Upload Data
Import MRI scans (DICOM), pathology slides (TIFF, SVS), and genomic data (VCF, CSV) through our secure, HIPAA-compliant portal. Simply drag and drop your files or browse to upload — and the rest is handled automatically by the pipeline.
- Supports DICOM, TIFF, SVS, VCF, CSV formats
- End-to-end encrypted and HIPAA compliant
- Instant validation and sample data available
AI Neural Network Analysis
Deep learning models analyze tumor morphology, genomic markers, and treatment response patterns in real time. Watch each processing stage complete — from MRI preprocessing and tumor region detection through to genomic marker analysis.
- Preprocessing MRI data with DICOM parsing
- Detecting tumor regions via convolutional networks
- Analyzing cell morphology and genomic markers
Risk Prediction
Confidence-aware predictions quantify chemotherapy resistance probability with uncertainty bounds — giving clinicians a precise, interpretable risk picture. Results include tumor classification, predicted staging, resistance risk, and 5-year survival estimates.
- 87% confidence malignancy detection
- Chemotherapy resistance risk scoring
- Survival rate projections with uncertainty bounds
Clinical Report
Generate detailed reports covering molecular profiles (HER2, ER, PR, Ki-67), recommended treatment plans with efficacy predictions, patient next steps, and risk factors — all ready for multidisciplinary team review with one-click PDF download.
- Full molecular subtype profiling
- Primary and alternative treatment recommendations
- Downloadable Full Clinical Report (PDF)
