Researchelasticnetalzheimersshapclinical assessments
Researchers Predict 12-Month Cognitive and Functional Decline
8.6
In Communications Medicine (2026), researchers developed and validated ElasticNet models predicting 12-month MMSE and BADL scores using routine clinical assessments from the UK Minder study and external ADNI data. The cognitive model achieved MAE 1.84 (R² 0.74) and validated on 741 ADNI trajectories with MAE 2.19; the functional model achieved MAE 3.88 (R² 0.77). A clinician tool, Theia, provides SHAP explanations for deployment.
Key Points
- 1Predict 12-month MMSE and BADL outcomes from routine clinical assessments and demographics
- 2Demonstrate high accuracy for MMSE (MAE 1.84, R² 0.74) with ADNI external validation (MAE 2.19)
- 3Enable clinicians to generate personalized 12-month forecasts via Theia decision-support with SHAP explanations
Scoring Rationale
Strong external validation and interpretable tool drive high impact, limited by modest development sample and need for broader validation.
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