Open scholarly work

Projects in clinical inquiry.

Open learning resources, movement research, software prototypes, and a patient-specific reasoning initiative—each independently owned and described at its present level of maturity.

Causal knowledge · Ontology · EvidenceResearch prototype

04

Models4PT

Infrastructure for transparent, computable causal knowledge in rehabilitation.

Models4PT owns the integrative work of combining evidence, generative mechanisms, context, provenance, uncertainty, and disagreement into comprehensive population-level causal models. Its safeguards are deliberate: association is not causation, extracted text is not accepted knowledge, and diagrams are views rather than the canonical record.

The current prototype includes tested Python domain objects, conservative mock extraction, an ontology-resolution boundary, and a heart-failure/NMES case study. It is not yet a deployed knowledge platform or clinical product.

PythonFastAPIReactOntologyCausal modeling
Bayesian inference · Clinical AI · ExplanationConcept stage

05

Clinical Inference Engine

A research initiative for patient-specific, uncertainty-aware clinical reasoning.

The project defines the practice-reasoning layer of the ecosystem: combining population causal knowledge with individual patient information through Bayesian updating, diagnostic hypothesis comparison, temporal reasoning, and inspectable explanations.

At present, this is an architectural and scholarly direction rather than runnable software. It is designed to consume versioned population knowledge from Models4PT without mutating that canonical knowledge or treating population estimates as automatic patient conclusions.

Causal modelsBayesian reasoningExplainable AIBelief revision