ki:elements Publishes New Validation Results on Remote Speech Biomarker for Cognition (SB-C) in Early Alzheimer's Disease

ki:elementsDigital speech biomarker company ki:elements has published validation results on the use of its ki:e speech biomarker for cognition (SB-C) in early Alzheimer’s disease in the "Karger - Digital Biomarkers" journal.(1)

Two European dementia studies - the Dutch DeepSpA study in collaboration with Maastricht University & the Scottish SPeAK study in collaboration with University of Edinburgh - helped to validate the psychometric properties of the SB-C. Results demonstrate the ki:e SB-C's ability to differentiate subjective complaints from people with mild cognitive impairment, and its ability to track decline towards Mild Cognitive Impairment in early phases of the disease within a year. On a construct level the SB-C score is correlated with established measures for cognition and its domain scores are anchored around established assessments for neurocognitive functions such as learning and memory, executive function and processing speed. In the longitudinal DeepSpA study the SB-C shows also good test-retest reliability. Validation followed the V3 approach championed by the Digital Medicine Society (DiMe).

Prof. Craig Ritchie, Chair of the Psychiatry of Ageing and Director of the Centre for Dementia Prevention at the University of Edinburgh, and PI of the SpEAK study commented: "Early detection of AD is the prerequisite for prevention. These results show that speech is a scalable and sensitive screening tool that could be a key building block in ending AD."

Dr. Johannes Tröger, Chief Scientific Officer of ki:elements added: "We are pleased with these validation results in early AD, validating that SB-C is a reliable measure of cognition - usable in clinical trials and healthcare. In parallel, we are working on studies validating the SB-C in even earlier, preclinical stages of the disease."

About ki:elements and SB-C

ki:elements GmbH is pioneering the research and development of novel digital speech biomarkers. The ki:e speech biomarker for cognition (SB-C) is a speech based cognitive digital biomarker that takes fifteen minutes to complete, can be administered remotely and automatically. It is used in academic and pharmaceutical research as a scalable cognition measurement and screening tool.

For more information, visit https://ki-elements.de

1. Tröger J, Baykara E, Zhao J, ter Huurne D, Possemis N, Mallick E, Schäfer S, Schwed L, Mina M, Linz N, Ramakers I, Ritchie C.
Validation of the Remote Automated ki:e Speech Biomarker for Cognition in Mild Cognitive Impairment: Verification and Validation following DiME V3 Framework.
Digit Biomark 2022;6:107-116. doi: 10.1159/000526471

Most Popular Now

Researchers Find Telemedicine may Help R…

Low-value care - medical tests and procedures that provide little to no benefit to patients - contributes to excess medical spending and both direct and cascading harms to patients. A...

AI Revolutionizes Glaucoma Care

Imagine walking into a supermarket, train station, or shopping mall and having your eyes screened for glaucoma within seconds - no appointment needed. With the AI-based Glaucoma Screening (AI-GS) network...

AI may Help Clinicians Personalize Treat…

Individuals with generalized anxiety disorder (GAD), a condition characterized by daily excessive worry lasting at least six months, have a high relapse rate even after receiving treatment. Artificial intelligence (AI)...

Accelerating NHS Digital Maturity: Paper…

Digitised clinical noting at South Tees Hospitals NHS Foundation Trust is creating efficiencies for busy doctors and nurses. The trust’s CCIO Dr Andrew Adair, deputy CCIO Dr John Greenaway, and...

Mobile App Tracking Blood Pressure Helps…

The AHOMKA platform, an innovative mobile app for patient-to-provider communication that developed through a collaboration between the School of Engineering and leading medical institutions in Ghana, has yielded positive results...

AI can Open Up Beds in the ICU

At the height of the COVID-19 pandemic, hospitals frequently ran short of beds in intensive care units. But even earlier, ICUs faced challenges in keeping beds available. With an aging...

Can AI Help Detect Cognitive Impairment?

Mild cognitive impairment (MCI) can be an early indicator of Alzheimer's disease or dementia, so identifying those with cognitive issues early could lead to interventions and better outcomes. But diagnosing...

Customized Smartphone App Shows Promise …

A growing body of research indicates that older adults in assisted living facilities can delay or even prevent cognitive decline through interventions that combine multiple activities, such as improving diet...

New Study Shows Promise for Gamified mHe…

A new study published in Multiple Sclerosis and Related Disorders highlights the potential of More Stamina, a gamified mobile health (mHealth) app designed to help people with Multiple Sclerosis (MS)...

AI Model Predicting Two-Year Risk of Com…

AFib (short for atrial fibrillation), a common heart rhythm disorder in adults, can have disastrous consequences including life-threatening blood clots and stroke if left undetected or untreated. A new study...

Patients' Affinity for AI Messages …

In a Duke Health-led survey, patients who were shown messages written either by artificial intelligence (AI) or human clinicians indicated a preference for responses drafted by AI over a human...

New Research Explores How AI can Build T…

In today’s economy, many workers have transitioned from manual labor toward knowledge work, a move driven primarily by technological advances, and workers in this domain face challenges around managing non-routine...