Detecting MCI early and effectively
Screening based on a speech biomarker can be deployed to millions of people at low-cost
Based on the ki:e SB-C, a speech biomarker measuring cognition in a 10-15 minute test, Mild Cognitive Impairment (MCI) can be identified in a population of healthy controls or people with subjective complaints with an Area under the curve (AUC) of 0.81. The screening can be deployed via the Mili platform and integrated with other systems.
Strong scientific evidence
Based on multiple studies in memory clinics and general population
The 10-15 minute test has been shown to separate MCI from participants that are cognitively normal (healthy controls or subjective impairments) and patients with more severe impairments (dementia/major cognitive impairment). Sensitivity and specificity can be tuned to the use case by altering the cut-off.
A collection of evidence is available as a separate dossier.
Area under the curve (AUC)
StROC-AUC of 0.83 in separating people with subjective complaints and MCI.
Choose your specificity/sensitivity
PPV/1-NPV and consequences for different cut-offs in screening.
Use case: Pre-screening tool for AD studies
Pre-screening using ki:e SB-C biomarker
Using ki:e SB-C screening fro MCI will significantly reduce the number of candidates invited to sites for screening and improve successful screen-in rate.
