Thrust 1 — Imaging Biomarkers
Automated DaT-SPECT and T1 MRI pipelines generate harmonized biomarker matrices that sharpen CSFSAA stratification and feed downstream agents.
Four coordinated thrusts extract, harmonize, and interpret multimodal biomarkers that fuel our progressive AI stack. Each thrust tackles a distinct vantage point—imaging, diffusion-clinical integration, wearable cognition, and mechanistic inference—while sharing common quality controls and translational goals.
Dive into the thrusts below for deeper technical walkthroughs, figures, and validated findings.
Automated DaT-SPECT and T1 MRI pipelines generate harmonized biomarker matrices that sharpen CSFSAA stratification and feed downstream agents.
Free-water–corrected diffusion metrics align with clinical scales inside a compositional Bayesian co-clustering framework, revealing severity-aligned patient subtypes.
Wearable IMU data, cognitive batteries, and demographics combine to predict CSFSAA status and uncover multimodal phenotypes.
Large-scale statistical testing links multimodal biomarkers to putative biological pathways, grounding discoveries in mechanism-centric hypotheses.