Clinovia.ai

Clinical Modules

All Alzheimer's models trained and validated on ADNI data · For research use only

Neurology — Alzheimer's

Random Forest · XGBoost · ADNI

Stage 1 — Clinical Screening

Live

Estimates 24-month MCI-to-AD progression risk from routine clinical variables. Routes high-risk patients to Stage 2a and/or 2b.

Inputs

  • Age, sex, education
  • APOE ε4 count
  • MMSE
  • ECog (study partner total & memory discrepancy)
  • RAVLT immediate & forgetting

Outputs

  • Risk class: High Risk Progressor / Low Risk Monitor
  • 24-month progression probability
  • Model confidence
  • Top contributing features
  • Next step routing

Stage 2a — Plasma Amyloid Triage

Live

Estimates amyloid burden from blood-based biomarkers. Runs in parallel with Stage 2b and feeds the fusion layer.

Inputs

  • Plasma Aβ42/40 ratio
  • p-tau217
  • GFAP
  • NfL
  • Age, APOE ε4, education, MMSE (covariates)

Outputs

  • Amyloid probability (0–100%)
  • Classification: Amyloid Positive / Negative
  • Risk band: Low / Intermediate / High
  • Recommendation: Order / Consider / Defer PET
  • Top contributing features

Stage 2b — MRI Neurodegeneration Gate

Live

Confirms or rules out structural neurodegeneration using MRI volumetrics and longitudinal atrophy trajectories. Runs in parallel with Stage 2a.

Inputs

  • Hippocampal, entorhinal, ventricular, whole-brain volumes
  • Intracranial volume (ICV)
  • Longitudinal slopes: hippocampus, ventricles, whole brain
  • Age, APOE ε4 (covariates)

Outputs

  • MRI risk probability
  • Classification: N+ Positive / N+ Negative
  • Risk band: Low / Intermediate / High
  • Clinical interpretation
  • Next step routing

Fusion Layer

Coming Soon

Combines Stage 2a plasma and Stage 2b MRI outputs into a final amyloid burden estimate and PET/CSF referral recommendation.

Inputs

  • Stage 2a output
  • Stage 2b output

Outputs

  • Final amyloid estimate
  • PET/CSF referral recommendation