Open-source measurement, safety, and HeartTwin stack.
Lightweight in-browser previews (research tools , not clinical software).
CardioScore ElectroTrace OptiCell MyoTrace CardiSim CardiStudio DCCP Biosafety HeartTwin
Measure & QC
Batch microscopy QC , focus, brightness, cell counts, plate metrics, CSV summary.
ECG annotation, segmentation, phenotyping, leakage-safe ML; web UI + REST API. Validated on MIT-BIH and INCART.
Motion and beat-level mechanical features from cardiac-cell or tissue video and TIFF; optional multimodal fusion.
Safety
Six-step BSL planning CLI from public CDC/NIH/WHO guidance for iPSC/ESC-CM and viral-vector workflows.
CiPA-aligned cardiotoxicity risk scoring from human iPSC-CM MEA field potentials; MCM/biodefense focus.
Research intelligence
Literature, datasets, trials, and software monitoring with evidence ranking and module mapping.
Maps and scores global cardiac-regeneration labs via multi-source mining and entity resolution.
HeartTwin stack
Patient-specific cardiac mechanics: PV/Windkessel reference backend, constitutive utilities, calibration handoff to CardiInfer, optional FE plugin boundary.
Cardiac electrophysiology engine: anisotropic Eikonal, scar-aware propagation, pseudo-ECG, ElectroTrace calibration ingestion, PDE backend gateway.
Inference and uncertainty layer for cardiac digital twins: multimodal parameter estimation, priors/posteriors, identifiability, sensitivity, surrogate-assisted calibration.
Patient-specific cardiac anatomy pipeline: CMR/CT ingestion, segmentation-to-mesh staging, fibers, scar/border mapping, geometry QC, and readiness gates for EP, mechanics, and flow.
cardianatomy.Hemodynamics and flow-simulation contracts: domains from CardiAnatomy, boundary conditions, reduced-order/CFD backends, flow biomarkers, solver QC. Fail-closed without numerical backends.
Virtual-intervention layer: pacing, ablation, pharmacologic, regenerative, and device experiment contracts with comparator arms, outcomes, and provenance. Not a treatment recommender.
Orchestration layer , service registry, typed state, native CardiSim digital-twin backend (CDT-compatible).
Synthetic cardiac trajectories under controlled perturbations; powers HeartTwin twin backend.
Experimental design, synthetic populations, constraints, and power planning.
Knowledge layer for literature, omics, phenotypes, biomarkers, and evidence provenance.
Cardiac transcriptomic representation learning and downstream prediction.
Versioned benchmark and dataset registry for cardiac AI evaluation.
Independent evaluation library for cardiac ML models.
Reproducible phenotype-level challenge-case generator.
Challenge platform for detection, novelty/OOD, and recovery scoring.
Defensive computational challenge platform for atypical or adversarial phenotype scenarios.
Provenance , runs, artifacts, lineage, fingerprints.
Typed interoperability protocol for structured computational messages.
Versions from public pyproject.toml where present. Status reflects code activity and maturity, not clinical validation. Updated Sep 2026.