Automated. Reproducible. At the scale of care.
A four-stage artificial intelligence pipeline transforms every planning CT into a comprehensive cardiovascular phenotype, feeding a digital twin, a radiomics platform, an imaging repository, and a biospecimen program.
Four stages, one loop.
Automated Segmentation
Heart, coronaries, valves, great vessels, epicardial fat, body composition — every structure of interest, automatically, on every study.
Automated Biomarker Extraction
Thousands of imaging variables per CT: densitometric, morphologic, textural, distributional. Reproducible. Auditable. Scalable.
Deep Learning Prediction
Multi-task neural networks predicting cardiac events, cancer outcomes, survival, treatment toxicity, and hospitalizations.
Clinical Decision Support
Real-time reports, risk scores, clinical alerts, and integration into radiation planning workflows — the discovery loop closes at the point of care.
Every patient, an individualized model.
We combine planning CT, EHR, laboratory data, ECG, echocardiography, cardiac MRI, wearables, claims, medications, cancer treatment, radiation dose, chemotherapy, immunotherapy, genomics, and outcomes into a longitudinal cardiovascular digital twin.
Enroll every eligible patient.
A comprehensive registry collects clinical variables, cancer characteristics, treatment, imaging, laboratory and cardiac biomarkers, blood pressure, functional status, quality of life, exercise, nutrition, wearable data, and long-term outcomes.
Future-ready biology.
Blood, plasma, serum, DNA, RNA, PBMCs, and optional tissue collection prepare the platform for multiomic analyses linking circulating biomarkers with imaging phenotype and long-term outcomes.
A secure, curated foundation.
Planning CT, dose maps, cone beam CT, diagnostic CT, PET, MRI, echocardiography, cardiac MRI, ECGs, radiomics, segmentations, annotations, and AI labels — indexed, versioned, and governed.
Tens of thousands of features. Signatures that matter.
Texture, shape, heterogeneity, attenuation, vascular characteristics, fat composition, myocardial characteristics, bone, muscle, lung, and tumor features — related to cardiovascular outcomes, oncologic outcomes, toxicity, and survival.
From platform to practice.
The AI platform is designed to host embedded pragmatic trials that translate discovery into daily cancer care.