A reusable biomedical AI research platform providing infrastructure for research memory, experiment tracking, dataset governance, bias management, audit workflows, literature management, hypothesis tracking, evidence graphs, artifact provenance, benchmarking, model governance, deployment readiness, and reproducibility.
This platform supports multiple biomedical modalities: ECG, EEG, medical imaging, clinical NLP, EHR, and signal processing.
| Subsystem | Purpose |
|---|---|
| memory/ | Project state, decisions, assumptions, risks, operational memory |
| governance/ | Bias register, leakage register, reproducibility rules, ethics |
| research/ | Hypotheses, evidence graph, artifact lineage (PIPE-001A) |
| literature/ | Paper summaries, literature tracking |
| audits/ | Intake, dataset, architecture, training, evaluation, deployment, postmortem audits |
| datasets/ | Registry, intake audits, metadata, policies, versioning |
| models/ | Model registry, model cards, checkpoints, evaluations |
| experiments/ | Experiment lifecycle management |
| benchmarks/ | Benchmark definitions, leaderboards, protocols |
| deployment/ | Deployment configurations (local, remote, cloud) |
| monitoring/ | Training, infrastructure, cost, scientific drift monitoring |
| clinical/ | Clinical ontologies, regulations, phenotypes |
| multimodal/ | Modality scaffolding (ECG, EEG, EHR, imaging, NLP, wearables) |
| reports/ | Milestone, audit, deployment reports |
| templates/ | Reusable document templates |
| resources/ | Reference library for models, datasets, standards |
| docs/ | Platform documentation |
| tooling/ | Automation scripts, validators, generators |
The ECG foundation-model project lives at implementations/ecg_foundation/.
- All conclusions require audit evidence.
- Every experiment originates from a hypothesis.
- Every claim cites evidence (supporting and conflicting).
- All datasets require intake audit before use.
- Never overwrite validated artifacts.
- Track assumptions until validated or rejected.
- Register every experiment with start/end/decision.
- Document biases, limitations, and leakage sources explicitly.