The ki:elements speech biomarker for


ki:e SB-C

Using speech to measure

cognitive changes

in clinical trials and research studies

A 10-minute phone call measures cognitive impairment automatically and remotely

The ki:elements speech biomarker for cognition measures cognitive function through speech. It is a composite score built up of automatically extracted speech features linked to three distinct domains:
learning and memory
executive function
processing speed

These features can be collected remotely or in-clinic, over the phone or via app. SB-C can be used out-of-the-box using our Mili system or be integrated into third party systems.





Validation based on large cohorts across Europe following approved methodology from the V3 framework of the Digital Medicine Society (DiME)
Clear-cut differentiation among healthy controls, MCI and Dementia patients.
High correlation with clinical cognition rating anchors.
Strong links with AD cerebrospinal fluid markers, such as aBeta and pTau

Validation of the Remote Automated ki:e Speech Biomarker for Cognition in Mild Cognitive Impairment: Verification and Validation following DiME V3 Framework

Tröger et al. (2022) | doi: 10.1159/000526471

Use case scenario:


in Alzheimer’s Disease

Enrollment as a key barrier for AD trials

of trials fail to meet enrolment timelines
of clinical trial’s timeline is spent on patient recruitment

spent annually on clinical trial recruitment

or less of potential candidates enrolled in clinical trials
Using ki:e SB-C will significantly

reduce the number of candidates

invited to sites for screening and

improve successful screen-in rate.

Screening for Mild Cognitive Impairment Using a Machine Learning Classifier and the Remote Speech Biomarker for Cognition: Evidence from Two Clinically Relevant Cohorts

Schäfer et al. (2023) | doi: 10.3233/JAD-220762

Ready to use SB-C in