Case Study
Improving
Dementia Risk Prediction
Alzheimer’s & Dementia
This research study presents the Dementia SomaSignal™ Test (dSST), a plasma-based proteomic model built on high-throughput SomaScan™ proteomics that predicts dementia risk up to 20 years before symptom onset.
Discover how the dSST:
- Leverages high-throughput proteomic data combined with machine learning techniques
- Outperforms conventional plasma biomarkers and APOE genotype
- Enables cost-effective, scalable, minimally invasive risk stratification
- Captures plasma proteomic signatures predictive of long-term cognitive decline and brain atrophy