Reconciling Biology with Clinical Expression
Precision neuroscience cannot rely on static snapshots alone. A complete understanding of disease progression requires a multi-scale framework linking cellular pathology to living functional decline.
Scale -1 (Molecular & Fluid Substrate)
Ingesting genomic risk, plasma p-tau217, NfL, and PET imaging markers.
Scale 0 (Clinical & Structural Ground Truth)
Standard hospital visits, volumetric MRI, and primary endpoint scales (CDR-SB, ADAS-Cog, MDS-UPDRS).
Scale +1 (High-Frequency Ecological Dynamics)
Continuous real-world cognitive dynamics, latency dispersion, and subtle cognitive decline captured via DocMemo.
DocMemo: Longitudinal Phenotyping Before Enrollment
Traditional trials face 80%+ screen failure rates for early intervention and prevention trials because clinical sites recruit from hospital waiting rooms. DocMemo shifts discovery directly into the community, engaging individuals with subjective cognitive decline (SCD) and early impairment long before their entry in the healthcare system.
Decentralized Cognitive Stress-Testing
Automated FCSRT (Free and Cued Selective Reminding Test) with intercurrent coding tasks and real-world reaction-time variance.
Early Decompensation & Cognitive Risk Detection
Measuring intra-individual variability (IIV) and subtle cognitive decline across repeated sessions to detect the inflection point of functional decompensation earlier than standard clinic scales.
Frictionless Translation to Sites
Pre-qualified, biologically stratified participants delivered directly into partner clinical networks across the US and Europe (with 85% of candidates completely naive to trial databases).
CourseMap AI: Patient Digital Twins & Generative Trajectory Modeling
CourseMap AI does not fit linear slopes or rely on static black-box classifiers. It is a generative spatiotemporal state-space framework that builds individualized patient digital twins to model the continuous evolution of neurodegeneration along a personalized temporal axis.
Decouples individual time-shift (τ_i), progression velocity (α_i), and spatial phenotype (w_i) strictly from pre-randomization baseline observations.
Continuous Time-Warping
Decouples biological onset time from chronological age, while capturing heterogeneous progression speeds.
Multimodal Joint Progression
Synthesizes fluid biomarkers, structural brain atrophy, and cognitive loss into a coherent, monotonic disease manifold.
Pre-Randomization Patient Digital Twins
Produces an individualized baseline prediction that explains patient heterogeneity, drastically lowering the unexplained variance in the trial’s final linear or mixed-effects model.
Delivery of Digital Twin prognostic covariates in < 4 weeks post data-lock.