Workflow 1 — Generative Latent-Space Modeling
Harmonizes imaging, diffusion, and clinical data into interpretable latent spaces that seed state estimators and policy agents.
Our program operationalizes two complementary workflows: generative latent-space modeling that unifies multimodal biomarkers, and clinician-centered deployment that translates those inferences into case-ready insight. Together they provide an end-to-end path from data harmonization to decision support.
Explore the workflows to see how data flows, quality checks, and clinician tooling lock together.
Harmonizes imaging, diffusion, and clinical data into interpretable latent spaces that seed state estimators and policy agents.
Delivers multimodal inferences to neurologists via interactive visualization, case review, and cohort monitoring tools.