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

Philips Foundation 2024 Annual Report: E…

Marking its tenth anniversary, Philips Foundation released its 2024 Annual Report, highlighting a year in which the Philips Foundation helped provide access to quality healthcare for 46.5 million people around...

New AI Transforms Radiology with Speed, …

A first-of-its-kind generative AI system, developed in-house at Northwestern Medicine, is revolutionizing radiology - boosting productivity, identifying life-threatening conditions in milliseconds and offering a breakthrough solution to the global radiologist...

Scientists Argue for More FDA Oversight …

An agile, transparent, and ethics-driven oversight system is needed for the U.S. Food and Drug Administration (FDA) to balance innovation with patient safety when it comes to artificial intelligence-driven medical...

Giving Doctors an AI-Powered Head Start …

Detection of melanoma and a range of other skin diseases will be faster and more accurate with a new artificial intelligence (AI) powered tool that analyses multiple imaging types simultaneously...

New Research Finds Specific Learning Str…

If data used to train artificial intelligence models for medical applications, such as hospitals across the Greater Toronto Area, differs from the real-world data, it could lead to patient harm...

AI Agents for Oncology

Clinical decision-making in oncology is challenging and requires the analysis of various data types - from medical imaging and genetic information to patient records and treatment guidelines. To effectively support...

'AI Scientist' Suggests Combin…

An 'AI scientist', working in collaboration with human scientists, has found that combinations of cheap and safe drugs - used to treat conditions such as high cholesterol and alcohol dependence...

Start-ups in the Spotlight at MEDICA 202…

17 - 20 November 2025, Düsseldorf, Germany. MEDICA, the leading international trade fair and platform for healthcare innovations, will once again confirm its position as the world's number one hotspot for...