ki:elements

Research-based

innovation

Exploring the frontiers of

health

through science
At ki:elements, we are committed to advancing healthcare and clinical research through scientific innovation. Harnessing our cutting edge technologies, we collaborate with leading researchers, companies and institutions to achieve this goal.

OUR SCIENCE AT A GLANCE

Over 50 publications in leading journals
Over 30 studies & more than 12,000 patients
4 speech biomarkers & 8 therapeutic areas

EXPLORE OUR LATEST SCIENTIFIC CONTRIBUTIONS

Pioneering studies in

speech

biomarkers
  • Poster

Automatic Speech Analysis of a Reading Text for Differentiating Parkinson’s Disease and Multiple System Atrophy

  • Thies et al., 2025
  • Scientific Article

Automatic speech analysis combined with machine learning reliably predicts the motor state in Parkinson’s disease

  • Thies et al., 2025
  • Poster

Automatic Speech Analysis for Detecting Speech Deficits in isolated REM sleep behavior disorder, Parkinson’s disease, and progressive supranuclear palsy

  • Thies et al., 2025
  • Poster

Detecting Childhood Trauma in MDD Patients Through Automated Speech and Language Analysis

  • Ettore et al., 2025
  • Poster

Objective Measures of Stress: Association of Speech Features and Cortisol

  • Menne et al., 2025
  • Poster

Detecting Apathy through Automatic Acoustic Speech Analysis in People with Parkinson’s Disease

  • Thies et al., 2025
  • Poster

Automatically Screening for Prodromal Parkinsonism in Isolated REM Sleep Behavior Disorder Using Speech Biomarkers for Articulatory Performance

  • Tröger et al., 2025
  • Poster

Screening for AD Stages in the Biofinder Primary Care Cohort Using a Digital Speech Biomarker for Cognition (SB-C)

  • König et al., 2025
  • Poster

Speech Measures Associated with the Course of Symptoms Severity in Patients with MDD

  • Menne et al., 2025
  • Poster

Practice Effects in Digital Semantic Verbal Fluency Assessments Improve Detection of Cognitive Impairments in Older-Age Memory Clinic Population

  • Tröger et al., 2025
  • Poster

Identifying People with Amyotrophic Lateral Sclerosis through an Automatic Dysarthria Score Across Multiple Languages

  • Thies et al., 2024
  • Symposium

Benefits of Automated Speech Analysis in Psychiatry

  • Menne et al., 2024
  • Scientific Article

The voice of depression: speech features as biomarkers for major depressive disorder

  • Menne et al., 2024
  • Poster

Automatic Measure of Speech Intelligibility as a Meaningful Digital Biomarker for Patients with Motor Speech Disorders

  • Linz et al., 2024
  • Poster

Memory features obtained through automated phone calls associate to the intensity of subjective cognitive decline in cognitively unimpaired individuals

  • Porta-Mas et al., 2024
  • Poster

Automatic Screening for CDR Stages in the Swedish H70 Birth Cohort Using a Digital Speech Biomarker for Cognition SB-C

  • Mallick et al., 2024
  • Poster

Screening for Cognitive Impairment across Four Different European Dementia Cohorts Using an Automatic Digital Cognitive Assessment

  • Tröger et al., 2024
  • Poster

Estimating the benefits of pre-screening Alzheimer’s trials using blood-based biomarkers and digital cognitive assessments

  • Linz et al., 2024
  • Talk

Assessing neuropsychiatric symptoms through speech analysis in early dementia patients

  • Alexopoulou et al., 2024
  • Scientific Article

Automated remote speech-based testing of individuals with cognitive decline: Bayesian agreement of transcription accuracy

  • König et al., 2024
  • Poster

Detecting impulsivity through speech in patients with Parkinson’s Disease: A principle proof study

  • Thies et al., 2024
  • Poster

Screening for AD Stages in the Biofinder Primary Care Cohort Using a Digital Speech Biomarker for Cognition (SB-C)

  • König et al., 2025
  • Poster

Practice Effects in Digital Semantic Verbal Fluency Assessments Improve Detection of Cognitive Impairments in Older-Age Memory Clinic Population

  • Tröger et al., 2025
  • Poster

Screening for Cognitive Impairment across Four Different European Dementia Cohorts Using an Automatic Digital Cognitive Assessment

  • Tröger et al., 2024
  • Poster

Automatic Screening for CDR Stages in the Swedish H70 Birth Cohort Using a Digital Speech Biomarker for Cognition SB-C

  • Mallick et al., 2024
  • Poster

Memory features obtained through automated phone calls associate to the intensity of subjective cognitive decline in cognitively unimpaired individuals

  • Porta-Mas et al., 2024
  • Poster

Estimating the benefits of pre-screening Alzheimer’s trials using blood-based biomarkers and digital cognitive assessments

  • Linz et al., 2024
  • Talk

Assessing neuropsychiatric symptoms through speech analysis in early dementia patients

  • Alexopoulou et al., 2024
  • Scientific Article

Automated remote speech-based testing of individuals with cognitive decline: Bayesian agreement of transcription accuracy

  • König et al., 2024
  • Poster

Automated speech analysis for fatigue detection in multiple sclerosis

  • Dias et al., 2024
  • Poster

Automatic multilingual analysis of semantic verbal fluency for dementia screening in Swahili and English: a feasibility study

  • Linz et al., 2024
  • Scientific Article

User Experience of a (Semi-) Automated Cognitive Phone-Based Assessment Within a Memory Clinic Population

  • ter Huurne et al., 2024
  • Poster

Identification of underlying AD pathology in cognitively unimpaired individuals with subjective cognitive decline by the means of automated speech and language processing

  • Sánchez-Benavides et al., 2024
  • Talk

Associations between speech-based biomarkers of cognition and traditional neuropsychological assessments in a preclinical AD cohort

  • Alexopoulou et al., 2024
  • Invited Talk

Novel digital speech biomarker for early detection of Alzheimer’s Disease

  • König et al., 2024
  • Scientific Article

Modern scores for traditional tests – Review of the diagnostic potential of scores derived from word list learning tests in mild cognitive impairment and early Alzheimer’s Disease

  • Schäfer et al., 2024
  • Scientific Article

Cross-lingual examination of language features and cognitive scores from free speech

  • Lindsay et al., 2024
  • Book Chapter

Speech-based digital biomarkers for Alzheimer’s research

  • Schäfer et al., 2024
  • Poster

Usability of phone-based cognitive assessments for developing a digital speech-based biomarker for early detection of Alzheimer’s disease

  • Köhler et al., 2024
  • Poster

Distinct acoustic speech profiles differentiating AD and PD from a reading passage in Spanish

  • Tröger et al., 2024
  • Poster

Pause-related speech biomarkers measure cognitive impairment in MS

  • Schäfer et al., 2024
  • Poster

Optimizing Diagnostic Efficiency: Trade-Off Analysis of RAVLT Trials in Discriminating Mild and Subjective Cognitive Impairment

  • Dörr et al., 2024
  • Poster

Automatic Detection of Cheating Behavior on Remotely Conducted Word List Learning Tests Using Speech Analysis

  • Mallick et al., 2024
  • Scientific Article

The Reliability and Clinical Validation of Automatically-Derived Verbal Memory Features of the Verbal Learning Test in Early Diagnostics of Cognitive Impairment

  • Possemis et al., 2024
  • Poster

Linguistic features identify MS-related early cognitive impairment in narrative speech

  • Garthof et al., 2023
  • Poster

Validating an automatic phone-based speech biomarker measuring cognition SB-C against PACC5 and MoCA in the Swedish H70 epidemiological cohort

  • Tröger et al., 2023
  • Scientific Article

Dissociating memory and executive function impairment through temporal features in a word list verbal learning task

  • Dörr et al., 2023
  • Scientific Article

Validation of an Automated Speech Analysis of Cognitive Tasks within a Semiautomated Phone Assessment

  • ter Huurne et al., 2023
  • Scientific Article

PROSA—a multicenter prospective observational study to develop low-burden digital speech biomarkers in ALS and FTD

  • Tröger et al., 2023
  • Poster

Association of Speech and Language features with Biomarkers in Early Stage Alzheimer patients

  • König et al., 2023
  • Scientific Article

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
  • Scientific Article

The Accuracy of Speech and Linguistic Analysis in Early Diagnostics of Neurocognitive Disorders in a Memory Clinic Setting

  • ter Huurne et al., 2023
  • Scientific Article

Screening over Speech in Unselected Populations for Clinical Trials in AD (PROSPECT-AD): Study Design and Protocol

  • König et al., 2024
  • Scientific Article

Dementia vs Depression: new methods for differential diagnosis using automatic speech analysis

  • Labbé et al., 2022
  • Scientific Article

Screening for MCI in the Swedish H70 Birth Cohort Study using digital automatic speech biomarker tests for cognition and a machine Learning classifier

  • Skoog et al., 2022
  • Poster

Pre-Screening Prodromal AD Trial Populations over the Telephone Using a Speech Biomarker for Cognition — Preliminary Results from AUTONOMY Phase 2 AD Trial Recruitment

  • Ruhmel et al., 2022
  • Scientific Article

Multimodal MRI cerebral correlates of verbal fluency switching and its impairment in women with depression

  • Domain et al., 2022
  • Press Release

ki:elements publishes new validation results on remote speech biomarker for cognition (SB-C) in early Alzheimer’s disease
  • Scientific Article

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
  • Poster

Dementia vs. Depression: new methods for differential diagnosis using automatic speech analysis

  • Labbé et al., 2022
  • Poster

Validation of the ki:e SB-C: a Novel Digital Speech Biomarker for Cognition in a Dutch Memory Clinic Population

  • Linz et al., 2022
  • Poster

Screening for MCI in the Swedish H70 Birth Cohort Study using digital automatic speech biomarker tests for cognition and a machine Learning classifier

  • Skoog et al., 2022
  • Scientific Article

Generating Synthetic Clinical Speech Data through Simulated ASR Deletion Error

  • Lindsay et al., 2022
  • Scientific Article

Remote data collection speech analysis and prediction of the identification of Alzheimer’s disease biomarkers in people at risk for Alzheimer’s disease dementia: the Speech on the Phone Assessment (SPeAk) prospective observational study protocol

  • Gregory et al., 2022
  • Scientific Article

Artificial Intelligence empowered recruitment for clinical trials

  • Linz et al., 2021
  • Scientific Article

Remote cognitive assessment of older adults in rural areas by telemedicine and automatic speech and video analysis

  • König et al., 2021
  • Scientific Article

Automated speech analysis for detection of cognitive and emotional changes

  • König et al., 2021

Validation ki:e SB-C
  • Scientific Article

Validation of a digital, tablet‐based version of the Trail Making Test in the ∆elta platform

  • Baykara et al., 2022
  • Poster

PROSPECT-AD: Population-based screening over speech for clinical trials in AD

  • König et al., 2021
  • Scientific Article

Measuring neuropsychiatric symptoms in patients with early cognitive decline using speech analysis

  • König et al., 2021
  • Poster

Detecting Childhood Trauma in MDD Patients Through Automated Speech and Language Analysis

  • Ettore et al., 2025
  • Poster

Objective Measures of Stress: Association of Speech Features and Cortisol

  • Menne et al., 2025
  • Poster

Speech Measures Associated with the Course of Symptoms Severity in Patients with MDD

  • Menne et al., 2025
  • Symposium

Benefits of Automated Speech Analysis in Psychiatry

  • Menne et al., 2024
  • Scientific Article

The voice of depression: speech features as biomarkers for major depressive disorder

  • Menne et al., 2024
  • Talk

Assessing neuropsychiatric symptoms through speech analysis in early dementia patients

  • Alexopoulou et al., 2024
  • Poster

Speech pauses: biomarkers for differentiating depressed patients from healthy controls

  • Menne et al., 2024
  • Poster

Two-minute automated speech analysis: comparable performance to Beck Depression Inventory-II in distinguishing depressed and healthy individuals

  • Menne et al., 2024
  • Poster

Automatically extracted linguistic features of MADRS clinical interview are associated with depression severity

  • Ettore et al., 2024
  • Poster

Speech biomarkers modelling depression severity

  • Menne et al., 2024
  • Scientific Article

Predicting Depression Severity from Spontaneous Speech as Prompted by a Virtual Agent

  • König et al., 2023
  • Scientific Article

Detecting subtle signs of depression with automated speech analysis in a non-clinical sample

  • König et al., 2022
  • Scientific Article

Dementia vs Depression: new methods for differential diagnosis using automatic speech analysis

  • Labbé et al., 2022
  • Scientific Article

Multimodal MRI cerebral correlates of verbal fluency switching and its impairment in women with depression

  • Domain et al., 2022
  • Poster

Dementia vs. Depression: new methods for differential diagnosis using automatic speech analysis

  • Labbé et al., 2022
  • Scientific Article

Automated speech analysis for detection of cognitive and emotional changes

  • König et al., 2021
  • Scientific Article

Measuring Stress in Health Professionals Over the Phone Using Automatic Speech Analysis During the COVID-19 Pandemic: Observational Pilot Study

  • König et al., 2021
  • Scientific Article

Use of automated speech analysis and facial emotion measurements on videos to assess the effects of relaxation devices: a pilot study

  • Guyon et al., 2020
  • Poster

Automatic Speech Analysis of a Reading Text for Differentiating Parkinson’s Disease and Multiple System Atrophy

  • Thies et al., 2025
  • Scientific Article

Automatic speech analysis combined with machine learning reliably predicts the motor state in Parkinson’s disease

  • Thies et al., 2025
  • Poster

Automatic Speech Analysis for Detecting Speech Deficits in isolated REM sleep behavior disorder, Parkinson’s disease, and progressive supranuclear palsy

  • Thies et al., 2025
  • Poster

Detecting Apathy through Automatic Acoustic Speech Analysis in People with Parkinson’s Disease

  • Thies et al., 2025
  • Poster

Automatically Screening for Prodromal Parkinsonism in Isolated REM Sleep Behavior Disorder Using Speech Biomarkers for Articulatory Performance

  • Tröger et al., 2025
  • Poster

Identifying People with Amyotrophic Lateral Sclerosis through an Automatic Dysarthria Score Across Multiple Languages

  • Thies et al., 2024
  • Poster

Automatic Measure of Speech Intelligibility as a Meaningful Digital Biomarker for Patients with Motor Speech Disorders

  • Linz et al., 2024
  • Poster

Detecting impulsivity through speech in patients with Parkinson’s Disease: A principle proof study

  • Thies et al., 2024
  • Poster

The ki: SB-M intelligibility score — An automatic measure for intelligibility in motor speech disorders

  • Tröger et al., 2024
  • Poster

Speech biomarkers for dysarthria in Parkinson’s Disease — Clinical validation across two languages

  • Tröger et al., 2024
  • Poster

Automated speech analysis for fatigue detection in multiple sclerosis

  • Dias et al., 2024
  • Scientific Article

Detecting Fatigue in Multiple Sclerosis through Automatic Speech Analysis

  • Dias et al., 2024
  • Scientific Article

An automatic measure for speech intelligibility in dysarthrias – Validation across multiple languages and neurological disorders

  • Tröger et al., 2024
  • Poster

Acoustic speech features from a picture description task measure bulbar symptoms in ALS

  • Lindsay et al., 2024
  • Scientific Article

Speech biomarkers for dysarthria in Parkinson’s Disease — Clinical validation across Spanish and Czech languages

  • Baykara et al., 2024
  • Poster

Low-burden digital speech biomarkers for early diagnosis and prognosis in Parkinson’s Disease: study design and protocol

  • Jäck et al., 2024
  • Poster

Using acoustic speech biomarkers to detect isolated REM sleep behavior disorder

  • Tröger et al., 2024
  • Poster

Building and evaluating a speech biomarker from 2-seconds sustained phonation to detect and monitor Parkinson’s disease

  • Tröger et al., 2023
  • Scientific Article

PROSA—a multicenter prospective observational study to develop low-burden digital speech biomarkers in ALS and FTD

  • Tröger et al., 2023
  • Scientific Article

PROSA—a multicenter prospective observational study to develop low-burden digital speech biomarkers in ALS and FTD

  • Tröger et al., 2023
  • Poster

Automatic Speech Analysis of a Reading Text for Differentiating Parkinson’s Disease and Multiple System Atrophy

  • Thies et al., 2025
  • Scientific Article

Automatic speech analysis combined with machine learning reliably predicts the motor state in Parkinson’s disease

  • Thies et al., 2025
  • Poster

Automatic Speech Analysis for Detecting Speech Deficits in isolated REM sleep behavior disorder, Parkinson’s disease, and progressive supranuclear palsy

  • Thies et al., 2025
  • Poster

Detecting Childhood Trauma in MDD Patients Through Automated Speech and Language Analysis

  • Ettore et al., 2025
  • Poster

Objective Measures of Stress: Association of Speech Features and Cortisol

  • Menne et al., 2025
  • Poster

Detecting Apathy through Automatic Acoustic Speech Analysis in People with Parkinson’s Disease

  • Thies et al., 2025
  • Poster

Automatically Screening for Prodromal Parkinsonism in Isolated REM Sleep Behavior Disorder Using Speech Biomarkers for Articulatory Performance

  • Tröger et al., 2025
  • Poster

Screening for AD Stages in the Biofinder Primary Care Cohort Using a Digital Speech Biomarker for Cognition (SB-C)

  • König et al., 2025
  • Poster

Speech Measures Associated with the Course of Symptoms Severity in Patients with MDD

  • Menne et al., 2025
  • Poster

Practice Effects in Digital Semantic Verbal Fluency Assessments Improve Detection of Cognitive Impairments in Older-Age Memory Clinic Population

  • Tröger et al., 2025
  • Poster

Identifying People with Amyotrophic Lateral Sclerosis through an Automatic Dysarthria Score Across Multiple Languages

  • Thies et al., 2024
  • Symposium

Benefits of Automated Speech Analysis in Psychiatry

  • Menne et al., 2024
  • Scientific Article

The voice of depression: speech features as biomarkers for major depressive disorder

  • Menne et al., 2024
  • Poster

Automatic Measure of Speech Intelligibility as a Meaningful Digital Biomarker for Patients with Motor Speech Disorders

  • Linz et al., 2024
  • Poster

Memory features obtained through automated phone calls associate to the intensity of subjective cognitive decline in cognitively unimpaired individuals

  • Porta-Mas et al., 2024
  • Poster

Automatic Screening for CDR Stages in the Swedish H70 Birth Cohort Using a Digital Speech Biomarker for Cognition SB-C

  • Mallick et al., 2024
  • Poster

Screening for Cognitive Impairment across Four Different European Dementia Cohorts Using an Automatic Digital Cognitive Assessment

  • Tröger et al., 2024
  • Poster

Estimating the benefits of pre-screening Alzheimer’s trials using blood-based biomarkers and digital cognitive assessments

  • Linz et al., 2024
  • Talk

Assessing neuropsychiatric symptoms through speech analysis in early dementia patients

  • Alexopoulou et al., 2024
  • Scientific Article

Automated remote speech-based testing of individuals with cognitive decline: Bayesian agreement of transcription accuracy

  • König et al., 2024
  • Poster

Detecting impulsivity through speech in patients with Parkinson’s Disease: A principle proof study

  • Thies et al., 2024
  • Poster

Screening for AD Stages in the Biofinder Primary Care Cohort Using a Digital Speech Biomarker for Cognition (SB-C)

  • König et al., 2025
  • Poster

Practice Effects in Digital Semantic Verbal Fluency Assessments Improve Detection of Cognitive Impairments in Older-Age Memory Clinic Population

  • Tröger et al., 2025
  • Poster

Screening for Cognitive Impairment across Four Different European Dementia Cohorts Using an Automatic Digital Cognitive Assessment

  • Tröger et al., 2024
  • Poster

Automatic Screening for CDR Stages in the Swedish H70 Birth Cohort Using a Digital Speech Biomarker for Cognition SB-C

  • Mallick et al., 2024
  • Poster

Estimating the benefits of pre-screening Alzheimer’s trials using blood-based biomarkers and digital cognitive assessments

  • Linz et al., 2024
  • Talk

Assessing neuropsychiatric symptoms through speech analysis in early dementia patients

  • Alexopoulou et al., 2024
  • Scientific Article

Automated remote speech-based testing of individuals with cognitive decline: Bayesian agreement of transcription accuracy

  • König et al., 2024
  • Poster

Automatic multilingual analysis of semantic verbal fluency for dementia screening in Swahili and English: a feasibility study

  • Linz et al., 2024
  • Poster

Identification of underlying AD pathology in cognitively unimpaired individuals with subjective cognitive decline by the means of automated speech and language processing

  • Sánchez-Benavides et al., 2024
  • Talk

Associations between speech-based biomarkers of cognition and traditional neuropsychological assessments in a preclinical AD cohort

  • Alexopoulou et al., 2024
  • Invited Talk

Novel digital speech biomarker for early detection of Alzheimer’s Disease

  • König et al., 2024
  • Scientific Article

Modern scores for traditional tests – Review of the diagnostic potential of scores derived from word list learning tests in mild cognitive impairment and early Alzheimer’s Disease

  • Schäfer et al., 2024
  • Scientific Article

Cross-lingual examination of language features and cognitive scores from free speech

  • Lindsay et al., 2024
  • Book Chapter

Speech-based digital biomarkers for Alzheimer’s research

  • Schäfer et al., 2024
  • Poster

Usability of phone-based cognitive assessments for developing a digital speech-based biomarker for early detection of Alzheimer’s disease

  • Köhler et al., 2024
  • Poster

Distinct acoustic speech profiles differentiating AD and PD from a reading passage in Spanish

  • Tröger et al., 2024
  • Poster

Optimizing Diagnostic Efficiency: Trade-Off Analysis of RAVLT Trials in Discriminating Mild and Subjective Cognitive Impairment

  • Dörr et al., 2024
  • Poster

Automatic Detection of Cheating Behavior on Remotely Conducted Word List Learning Tests Using Speech Analysis

  • Mallick et al., 2024
  • Scientific Article

The Reliability and Clinical Validation of Automatically-Derived Verbal Memory Features of the Verbal Learning Test in Early Diagnostics of Cognitive Impairment

  • Possemis et al., 2024
  • Poster

Validating an automatic phone-based speech biomarker measuring cognition SB-C against PACC5 and MoCA in the Swedish H70 epidemiological cohort

  • Tröger et al., 2023
  • Scientific Article

Dissociating memory and executive function impairment through temporal features in a word list verbal learning task

  • Dörr et al., 2023
  • Poster

Association of Speech and Language features with Biomarkers in Early Stage Alzheimer patients

  • König et al., 2023
  • Scientific Article

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
  • Scientific Article

Screening over Speech in Unselected Populations for Clinical Trials in AD (PROSPECT-AD): Study Design and Protocol

  • König et al., 2024
  • Scientific Article

Dementia vs Depression: new methods for differential diagnosis using automatic speech analysis

  • Labbé et al., 2022
  • Scientific Article

Screening for MCI in the Swedish H70 Birth Cohort Study using digital automatic speech biomarker tests for cognition and a machine Learning classifier

  • Skoog et al., 2022
  • Poster

Pre-Screening Prodromal AD Trial Populations over the Telephone Using a Speech Biomarker for Cognition — Preliminary Results from AUTONOMY Phase 2 AD Trial Recruitment

  • Ruhmel et al., 2022
  • Press Release

ki:elements publishes new validation results on remote speech biomarker for cognition (SB-C) in early Alzheimer’s disease
  • Poster

Dementia vs. Depression: new methods for differential diagnosis using automatic speech analysis

  • Labbé et al., 2022
  • Poster

Validation of the ki:e SB-C: a Novel Digital Speech Biomarker for Cognition in a Dutch Memory Clinic Population

  • Linz et al., 2022
  • Poster

Screening for MCI in the Swedish H70 Birth Cohort Study using digital automatic speech biomarker tests for cognition and a machine Learning classifier

  • Skoog et al., 2022
  • Scientific Article

Generating Synthetic Clinical Speech Data through Simulated ASR Deletion Error

  • Lindsay et al., 2022
  • Scientific Article

Remote data collection speech analysis and prediction of the identification of Alzheimer’s disease biomarkers in people at risk for Alzheimer’s disease dementia: the Speech on the Phone Assessment (SPeAk) prospective observational study protocol

  • Gregory et al., 2022
  • Scientific Article

Artificial Intelligence empowered recruitment for clinical trials

  • Linz et al., 2021
  • Scientific Article

Remote cognitive assessment of older adults in rural areas by telemedicine and automatic speech and video analysis

  • König et al., 2021
  • Scientific Article

Automated speech analysis for detection of cognitive and emotional changes

  • König et al., 2021

Validation ki:e SB-C
  • Poster

PROSPECT-AD: Population-based screening over speech for clinical trials in AD

  • König et al., 2021
  • Press Release

ki:e SB-C
  • Scientific Article

Remote cognitive assessment of older adults in rural areas by telemedicine and automatic speech and video analysis: protocol for a cross-over feasibility study

  • König et al., 2021
  • Talk

Automated speech analysis for detection of cognitive and emotional changes

  • ter Huurne et al., 2021
  • Poster

Remote Cognitive Assessment of Older Adults in Rural Areas by Telemedicine and Automatic Speech & Video Analysis

  • König et al., 2021
  • Scientific Article

Dissociating Semantic and Phonemic Search Strategies in the Phonemic Verbal Fluency Task in early Dementia

  • Lindsay et al., 2021
  • Scientific Article

Language impairment in Alzheimer’s disease—robust and explainable evidence for AD-related deterioration of spontaneous speech through multilingual machine learning

  • Lindsay et al., 2021
  • Scientific Article

What Difference Does It Make? Early Dementia Detection Using the Semantic and Phonemic Verbal Fluency Task

  • Lindsay et al., 2020
  • Scientific Article

Automatic Data-Driven Approaches for Evaluating the Phonemic Verbal Fluency Task with Healthy Adults

  • Lindsay et al., 2019
  • Scientific Article

Multilingual prediction of Alzheimer’s disease through domain adaptation and concept-based language modeling

  • Fraser et al., 2019
  • Scientific Article

Exploitation vs. exploration—computational temporal and semantic analysis explains semantic verbal fluency impairment in Alzheimer’s disease

  • Tröger et al., 2019
  • Scientific Article

Telephone-Based Dementia Screening I: Automated Semantic Verbal Fluency Assessment

  • Tröger et al., 2018
  • Scientific Article

Language Modelling for the Clinical Semantic Verbal Fluency Task

  • Linz et al., 2018
  • Poster

Detecting Childhood Trauma in MDD Patients Through Automated Speech and Language Analysis

  • Ettore et al., 2025
  • Poster

Speech Measures Associated with the Course of Symptoms Severity in Patients with MDD

  • Menne et al., 2025
  • Scientific Article

The voice of depression: speech features as biomarkers for major depressive disorder

  • Menne et al., 2024
  • Talk

Assessing neuropsychiatric symptoms through speech analysis in early dementia patients

  • Alexopoulou et al., 2024
  • Poster

Speech pauses: biomarkers for differentiating depressed patients from healthy controls

  • Menne et al., 2024
  • Poster

Two-minute automated speech analysis: comparable performance to Beck Depression Inventory-II in distinguishing depressed and healthy individuals

  • Menne et al., 2024
  • Poster

Automatically extracted linguistic features of MADRS clinical interview are associated with depression severity

  • Ettore et al., 2024
  • Poster

Speech biomarkers modelling depression severity

  • Menne et al., 2024
  • Scientific Article

Predicting Depression Severity from Spontaneous Speech as Prompted by a Virtual Agent

  • König et al., 2023
  • Scientific Article

Detecting subtle signs of depression with automated speech analysis in a non-clinical sample

  • König et al., 2022
  • Scientific Article

Dementia vs Depression: new methods for differential diagnosis using automatic speech analysis

  • Labbé et al., 2022
  • Scientific Article

Multimodal MRI cerebral correlates of verbal fluency switching and its impairment in women with depression

  • Domain et al., 2022
  • Poster

Dementia vs. Depression: new methods for differential diagnosis using automatic speech analysis

  • Labbé et al., 2022
  • Scientific Article

Measuring neuropsychiatric symptoms in patients with early cognitive decline using speech analysis

  • König et al., 2021
  • Talk

Assessing neuropsychiatric symptoms through speech analysis in early dementia patients

  • Alexopoulou et al., 2024
  • Scientific Article

Predicting Depression Severity from Spontaneous Speech as Prompted by a Virtual Agent

  • König et al., 2023
  • Scientific Article

Detecting subtle signs of depression with automated speech analysis in a non-clinical sample

  • König et al., 2022
  • Scientific Article

Measuring neuropsychiatric symptoms in patients with early cognitive decline using speech analysis

  • König et al., 2021
  • Scientific Article

Detecting apathy in older adults with cognitive disorders using automatic speech analysis

  • König et al., 2019
  • Poster

Practice Effects in Digital Semantic Verbal Fluency Assessments Improve Detection of Cognitive Impairments in Older-Age Memory Clinic Population

  • Tröger et al., 2025
  • Poster

Screening for Cognitive Impairment across Four Different European Dementia Cohorts Using an Automatic Digital Cognitive Assessment

  • Tröger et al., 2024
  • Poster

Automatic Screening for CDR Stages in the Swedish H70 Birth Cohort Using a Digital Speech Biomarker for Cognition SB-C

  • Mallick et al., 2024
  • Poster

Memory features obtained through automated phone calls associate to the intensity of subjective cognitive decline in cognitively unimpaired individuals

  • Porta-Mas et al., 2024
  • Poster

Estimating the benefits of pre-screening Alzheimer’s trials using blood-based biomarkers and digital cognitive assessments

  • Linz et al., 2024
  • Talk

Assessing neuropsychiatric symptoms through speech analysis in early dementia patients

  • Alexopoulou et al., 2024
  • Scientific Article

Automated remote speech-based testing of individuals with cognitive decline: Bayesian agreement of transcription accuracy

  • König et al., 2024
  • Scientific Article

User Experience of a (Semi-) Automated Cognitive Phone-Based Assessment Within a Memory Clinic Population

  • ter Huurne et al., 2024
  • Scientific Article

Modern scores for traditional tests – Review of the diagnostic potential of scores derived from word list learning tests in mild cognitive impairment and early Alzheimer’s Disease

  • Schäfer et al., 2024
  • Poster

Optimizing Diagnostic Efficiency: Trade-Off Analysis of RAVLT Trials in Discriminating Mild and Subjective Cognitive Impairment

  • Dörr et al., 2024
  • Scientific Article

The Reliability and Clinical Validation of Automatically-Derived Verbal Memory Features of the Verbal Learning Test in Early Diagnostics of Cognitive Impairment

  • Possemis et al., 2024
  • Poster

Validating an automatic phone-based speech biomarker measuring cognition SB-C against PACC5 and MoCA in the Swedish H70 epidemiological cohort

  • Tröger et al., 2023
  • Scientific Article

Dissociating memory and executive function impairment through temporal features in a word list verbal learning task

  • Dörr et al., 2023
  • Scientific Article

Validation of an Automated Speech Analysis of Cognitive Tasks within a Semiautomated Phone Assessment

  • ter Huurne et al., 2023
  • Poster

Association of Speech and Language features with Biomarkers in Early Stage Alzheimer patients

  • König et al., 2023
  • Scientific Article

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
  • Scientific Article

The Accuracy of Speech and Linguistic Analysis in Early Diagnostics of Neurocognitive Disorders in a Memory Clinic Setting

  • ter Huurne et al., 2023
  • Scientific Article

Dementia vs Depression: new methods for differential diagnosis using automatic speech analysis

  • Labbé et al., 2022
  • Scientific Article

Screening for MCI in the Swedish H70 Birth Cohort Study using digital automatic speech biomarker tests for cognition and a machine Learning classifier

  • Skoog et al., 2022
  • Scientific Article

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
  • Poster

Dementia vs. Depression: new methods for differential diagnosis using automatic speech analysis

  • Labbé et al., 2022
  • Poster

Screening for MCI in the Swedish H70 Birth Cohort Study using digital automatic speech biomarker tests for cognition and a machine Learning classifier

  • Skoog et al., 2022
  • Scientific Article

Generating Synthetic Clinical Speech Data through Simulated ASR Deletion Error

  • Lindsay et al., 2022
  • Scientific Article

Remote cognitive assessment of older adults in rural areas by telemedicine and automatic speech and video analysis

  • König et al., 2021
  • Scientific Article

Automated speech analysis for detection of cognitive and emotional changes

  • König et al., 2021
  • Scientific Article

Measuring neuropsychiatric symptoms in patients with early cognitive decline using speech analysis

  • König et al., 2021
  • Press Release

ki:e SB-C
  • Scientific Article

Multilingual Learning for Mild Cognitive Impairment Screening from a Clinical Speech Task

  • Lindsay et al., 2021
  • Scientific Article

Remote cognitive assessment of older adults in rural areas by telemedicine and automatic speech and video analysis: protocol for a cross-over feasibility study

  • König et al., 2021
  • Talk

Automated speech analysis for detection of cognitive and emotional changes

  • ter Huurne et al., 2021
  • Poster

Remote Cognitive Assessment of Older Adults in Rural Areas by Telemedicine and Automatic Speech & Video Analysis

  • König et al., 2021
  • Scientific Article

Patients with amnestic MCI fail to adapt executive control when repeatedly tested with semantic verbal fluency tasks

  • Tröger et al., 2021
  • Scientific Article

Dissociating Semantic and Phonemic Search Strategies in the Phonemic Verbal Fluency Task in early Dementia

  • Lindsay et al., 2021
  • Scientific Article

Temporal Analysis of the Semantic Verbal Fluency Task in Persons with Subjective and Mild Cognitive Impairment

  • Linz et al, 2019
  • Scientific Article

Multilingual prediction of Alzheimer’s disease through domain adaptation and concept-based language modeling

  • Fraser et al., 2019
  • Scientific Article

Exploitation vs. exploration—computational temporal and semantic analysis explains semantic verbal fluency impairment in Alzheimer’s disease

  • Tröger et al., 2019
  • Scientific Article

Fully automatic speech-based analysis of the semantic verbal fluency task

  • König et al., 2018
  • Scientific Article

Using neural word embeddings in the analysis of the clinical semantic verbal fluency task

  • Linz et al., 2017
  • Scientific Article

Automatic speech analysis for the assessment of patients with predementia and Alzheimer’s disease

  • König et al., 2015
  • Poster

Objective Measures of Stress: Association of Speech Features and Cortisol

  • Menne et al., 2025
  • Scientific Article

Measuring Stress in Health Professionals Over the Phone Using Automatic Speech Analysis During the COVID-19 Pandemic: Observational Pilot Study

  • König et al., 2021
  • Scientific Article

Use of automated speech analysis and facial emotion measurements on videos to assess the effects of relaxation devices: a pilot study

  • Guyon et al., 2020
  • Poster

Automated speech analysis for fatigue detection in multiple sclerosis

  • Dias et al., 2024
  • Scientific Article

Detecting Fatigue in Multiple Sclerosis through Automatic Speech Analysis

  • Dias et al., 2024
  • Poster

Pause-related speech biomarkers measure cognitive impairment in MS

  • Schäfer et al., 2024
  • Poster

Linguistic features identify MS-related early cognitive impairment in narrative speech

  • Garthof et al., 2023
  • Poster

Identifying People with Amyotrophic Lateral Sclerosis through an Automatic Dysarthria Score Across Multiple Languages

  • Thies et al., 2024
  • Poster

The ki: SB-M intelligibility score — An automatic measure for intelligibility in motor speech disorders

  • Tröger et al., 2024
  • Scientific Article

An automatic measure for speech intelligibility in dysarthrias – Validation across multiple languages and neurological disorders

  • Tröger et al., 2024
  • Poster

Acoustic speech features from a picture description task measure bulbar symptoms in ALS

  • Lindsay et al., 2024
  • Scientific Article

PROSA—a multicenter prospective observational study to develop low-burden digital speech biomarkers in ALS and FTD

  • Tröger et al., 2023
  • Scientific Article

Automatic detection of language impairment in ALS

  • Lindsay et al., 2019
  • Poster

Automatic Speech Analysis of a Reading Text for Differentiating Parkinson’s Disease and Multiple System Atrophy

  • Thies et al., 2025
  • Scientific Article

Automatic speech analysis combined with machine learning reliably predicts the motor state in Parkinson’s disease

  • Thies et al., 2025
  • Poster

Automatic Speech Analysis for Detecting Speech Deficits in isolated REM sleep behavior disorder, Parkinson’s disease, and progressive supranuclear palsy

  • Thies et al., 2025
  • Poster

Detecting Apathy through Automatic Acoustic Speech Analysis in People with Parkinson’s Disease

  • Thies et al., 2025
  • Poster

Automatically Screening for Prodromal Parkinsonism in Isolated REM Sleep Behavior Disorder Using Speech Biomarkers for Articulatory Performance

  • Tröger et al., 2025
  • Poster

Automatic Measure of Speech Intelligibility as a Meaningful Digital Biomarker for Patients with Motor Speech Disorders

  • Linz et al., 2024
  • Poster

Detecting impulsivity through speech in patients with Parkinson’s Disease: A principle proof study

  • Thies et al., 2024
  • Poster

The ki: SB-M intelligibility score — An automatic measure for intelligibility in motor speech disorders

  • Tröger et al., 2024
  • Poster

Speech biomarkers for dysarthria in Parkinson’s Disease — Clinical validation across two languages

  • Tröger et al., 2024
  • Scientific Article

An automatic measure for speech intelligibility in dysarthrias – Validation across multiple languages and neurological disorders

  • Tröger et al., 2024
  • Scientific Article

Speech biomarkers for dysarthria in Parkinson’s Disease — Clinical validation across Spanish and Czech languages

  • Baykara et al., 2024
  • Poster

Low-burden digital speech biomarkers for early diagnosis and prognosis in Parkinson’s Disease: study design and protocol

  • Jäck et al., 2024
  • Poster

Using acoustic speech biomarkers to detect isolated REM sleep behavior disorder

  • Tröger et al., 2024
  • Poster

Distinct acoustic speech profiles differentiating AD and PD from a reading passage in Spanish

  • Tröger et al., 2024
  • Poster

Building and evaluating a speech biomarker from 2-seconds sustained phonation to detect and monitor Parkinson’s disease

  • Tröger et al., 2023
  • Poster

Automatic Speech Analysis of a Reading Text for Differentiating Parkinson’s Disease and Multiple System Atrophy

  • Thies et al., 2025
  • Scientific Article

An automatic measure for speech intelligibility in dysarthrias – Validation across multiple languages and neurological disorders

  • Tröger et al., 2024
  • Scientific Article

Validation of a digital, tablet‐based version of the Trail Making Test in the ∆elta platform

  • Baykara et al., 2022
  • Poster

Automatic Speech Analysis of a Reading Text for Differentiating Parkinson’s Disease and Multiple System Atrophy

  • Thies et al., 2025
  • Scientific Article

Automatic speech analysis combined with machine learning reliably predicts the motor state in Parkinson’s disease

  • Thies et al., 2025
  • Poster

Automatic Speech Analysis for Detecting Speech Deficits in isolated REM sleep behavior disorder, Parkinson’s disease, and progressive supranuclear palsy

  • Thies et al., 2025
  • Poster

Detecting Childhood Trauma in MDD Patients Through Automated Speech and Language Analysis

  • Ettore et al., 2025
  • Poster

Objective Measures of Stress: Association of Speech Features and Cortisol

  • Menne et al., 2025
  • Poster

Detecting Apathy through Automatic Acoustic Speech Analysis in People with Parkinson’s Disease

  • Thies et al., 2025
  • Poster

Automatically Screening for Prodromal Parkinsonism in Isolated REM Sleep Behavior Disorder Using Speech Biomarkers for Articulatory Performance

  • Tröger et al., 2025
  • Poster

Screening for AD Stages in the Biofinder Primary Care Cohort Using a Digital Speech Biomarker for Cognition (SB-C)

  • König et al., 2025
  • Poster

Speech Measures Associated with the Course of Symptoms Severity in Patients with MDD

  • Menne et al., 2025
  • Poster

Practice Effects in Digital Semantic Verbal Fluency Assessments Improve Detection of Cognitive Impairments in Older-Age Memory Clinic Population

  • Tröger et al., 2025
  • Poster

Identifying People with Amyotrophic Lateral Sclerosis through an Automatic Dysarthria Score Across Multiple Languages

  • Thies et al., 2024
  • Symposium

Benefits of Automated Speech Analysis in Psychiatry

  • Menne et al., 2024
  • Scientific Article

The voice of depression: speech features as biomarkers for major depressive disorder

  • Menne et al., 2024
  • Poster

Automatic Measure of Speech Intelligibility as a Meaningful Digital Biomarker for Patients with Motor Speech Disorders

  • Linz et al., 2024
  • Poster

Memory features obtained through automated phone calls associate to the intensity of subjective cognitive decline in cognitively unimpaired individuals

  • Porta-Mas et al., 2024
  • Poster

Automatic Screening for CDR Stages in the Swedish H70 Birth Cohort Using a Digital Speech Biomarker for Cognition SB-C

  • Mallick et al., 2024
  • Poster

Screening for Cognitive Impairment across Four Different European Dementia Cohorts Using an Automatic Digital Cognitive Assessment

  • Tröger et al., 2024
  • Poster

Estimating the benefits of pre-screening Alzheimer’s trials using blood-based biomarkers and digital cognitive assessments

  • Linz et al., 2024
  • Talk

Assessing neuropsychiatric symptoms through speech analysis in early dementia patients

  • Alexopoulou et al., 2024
  • Scientific Article

Automated remote speech-based testing of individuals with cognitive decline: Bayesian agreement of transcription accuracy

  • König et al., 2024
  • Poster

Detecting impulsivity through speech in patients with Parkinson’s Disease: A principle proof study

  • Thies et al., 2024
  • Scientific Article

Automatic speech analysis combined with machine learning reliably predicts the motor state in Parkinson’s disease

  • Thies et al., 2025
  • Scientific Article

The voice of depression: speech features as biomarkers for major depressive disorder

  • Menne et al., 2024
  • Scientific Article

Automated remote speech-based testing of individuals with cognitive decline: Bayesian agreement of transcription accuracy

  • König et al., 2024
  • Scientific Article

User Experience of a (Semi-) Automated Cognitive Phone-Based Assessment Within a Memory Clinic Population

  • ter Huurne et al., 2024
  • Scientific Article

Detecting Fatigue in Multiple Sclerosis through Automatic Speech Analysis

  • Dias et al., 2024
  • Scientific Article

An automatic measure for speech intelligibility in dysarthrias – Validation across multiple languages and neurological disorders

  • Tröger et al., 2024
  • Scientific Article

Modern scores for traditional tests – Review of the diagnostic potential of scores derived from word list learning tests in mild cognitive impairment and early Alzheimer’s Disease

  • Schäfer et al., 2024
  • Scientific Article

Cross-lingual examination of language features and cognitive scores from free speech

  • Lindsay et al., 2024
  • Scientific Article

Speech biomarkers for dysarthria in Parkinson’s Disease — Clinical validation across Spanish and Czech languages

  • Baykara et al., 2024
  • Book Chapter

Speech-based digital biomarkers for Alzheimer’s research

  • Schäfer et al., 2024
  • Scientific Article

The Reliability and Clinical Validation of Automatically-Derived Verbal Memory Features of the Verbal Learning Test in Early Diagnostics of Cognitive Impairment

  • Possemis et al., 2024
  • Scientific Article

Dissociating memory and executive function impairment through temporal features in a word list verbal learning task

  • Dörr et al., 2023
  • Scientific Article

Validation of an Automated Speech Analysis of Cognitive Tasks within a Semiautomated Phone Assessment

  • ter Huurne et al., 2023
  • Scientific Article

PROSA—a multicenter prospective observational study to develop low-burden digital speech biomarkers in ALS and FTD

  • Tröger et al., 2023
  • Scientific Article

Predicting Depression Severity from Spontaneous Speech as Prompted by a Virtual Agent

  • König et al., 2023
  • Scientific Article

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
  • Scientific Article

The Accuracy of Speech and Linguistic Analysis in Early Diagnostics of Neurocognitive Disorders in a Memory Clinic Setting

  • ter Huurne et al., 2023
  • Scientific Article

Screening over Speech in Unselected Populations for Clinical Trials in AD (PROSPECT-AD): Study Design and Protocol

  • König et al., 2024
  • Scientific Article

Detecting subtle signs of depression with automated speech analysis in a non-clinical sample

  • König et al., 2022
  • Scientific Article

Dementia vs Depression: new methods for differential diagnosis using automatic speech analysis

  • Labbé et al., 2022
  • Scientific Article

Screening for MCI in the Swedish H70 Birth Cohort Study using digital automatic speech biomarker tests for cognition and a machine Learning classifier

  • Skoog et al., 2022
  • Scientific Article

Multimodal MRI cerebral correlates of verbal fluency switching and its impairment in women with depression

  • Domain et al., 2022
  • Scientific Article

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
  • Scientific Article

Generating Synthetic Clinical Speech Data through Simulated ASR Deletion Error

  • Lindsay et al., 2022
  • Scientific Article

Remote data collection speech analysis and prediction of the identification of Alzheimer’s disease biomarkers in people at risk for Alzheimer’s disease dementia: the Speech on the Phone Assessment (SPeAk) prospective observational study protocol

  • Gregory et al., 2022
  • Scientific Article

Artificial Intelligence empowered recruitment for clinical trials

  • Linz et al., 2021
  • Scientific Article

Remote cognitive assessment of older adults in rural areas by telemedicine and automatic speech and video analysis

  • König et al., 2021
  • Scientific Article

Automated speech analysis for detection of cognitive and emotional changes

  • König et al., 2021
  • Scientific Article

Validation of a digital, tablet‐based version of the Trail Making Test in the ∆elta platform

  • Baykara et al., 2022
  • Scientific Article

Measuring neuropsychiatric symptoms in patients with early cognitive decline using speech analysis

  • König et al., 2021
  • Scientific Article

Multilingual Learning for Mild Cognitive Impairment Screening from a Clinical Speech Task

  • Lindsay et al., 2021
  • Scientific Article

Remote cognitive assessment of older adults in rural areas by telemedicine and automatic speech and video analysis: protocol for a cross-over feasibility study

  • König et al., 2021
  • Scientific Article

Patients with amnestic MCI fail to adapt executive control when repeatedly tested with semantic verbal fluency tasks

  • Tröger et al., 2021
  • Scientific Article

Dissociating Semantic and Phonemic Search Strategies in the Phonemic Verbal Fluency Task in early Dementia

  • Lindsay et al., 2021
  • Scientific Article

Language impairment in Alzheimer’s disease—robust and explainable evidence for AD-related deterioration of spontaneous speech through multilingual machine learning

  • Lindsay et al., 2021
  • Scientific Article

Measuring Stress in Health Professionals Over the Phone Using Automatic Speech Analysis During the COVID-19 Pandemic: Observational Pilot Study

  • König et al., 2021
  • Scientific Article

Use of automated speech analysis and facial emotion measurements on videos to assess the effects of relaxation devices: a pilot study

  • Guyon et al., 2020
  • Scientific Article

What Difference Does It Make? Early Dementia Detection Using the Semantic and Phonemic Verbal Fluency Task

  • Lindsay et al., 2020
  • Scientific Article

Automatic Data-Driven Approaches for Evaluating the Phonemic Verbal Fluency Task with Healthy Adults

  • Lindsay et al., 2019
  • Scientific Article

Automatic detection of language impairment in ALS

  • Lindsay et al., 2019
  • Scientific Article

The importance of sharing patient-generated clinical speech and language data

  • Fraser et al., 2019
  • Scientific Article

Temporal Analysis of the Semantic Verbal Fluency Task in Persons with Subjective and Mild Cognitive Impairment

  • Linz et al, 2019
  • Scientific Article

Multilingual prediction of Alzheimer’s disease through domain adaptation and concept-based language modeling

  • Fraser et al., 2019
  • Scientific Article

Exploitation vs. exploration—computational temporal and semantic analysis explains semantic verbal fluency impairment in Alzheimer’s disease

  • Tröger et al., 2019
  • Scientific Article

Detecting apathy in older adults with cognitive disorders using automatic speech analysis

  • König et al., 2019
  • Scientific Article

Telephone-Based Dementia Screening I: Automated Semantic Verbal Fluency Assessment

  • Tröger et al., 2018
  • Scientific Article

Language Modelling for the Clinical Semantic Verbal Fluency Task

  • Linz et al., 2018
  • Scientific Article

Fully automatic speech-based analysis of the semantic verbal fluency task

  • König et al., 2018
  • Scientific Article

Predicting dementia screening and staging scores from semantic verbal fluency performance

  • Linz et al., 2017
  • Scientific Article

Automated speech-based screening for Alzheimer’s disease in a care service scenario

  • Tröger et al., 2017
  • Poster

Automatic Speech Analysis of a Reading Text for Differentiating Parkinson’s Disease and Multiple System Atrophy

  • Thies et al., 2025
  • Poster

Automatic Speech Analysis for Detecting Speech Deficits in isolated REM sleep behavior disorder, Parkinson’s disease, and progressive supranuclear palsy

  • Thies et al., 2025
  • Poster

Detecting Childhood Trauma in MDD Patients Through Automated Speech and Language Analysis

  • Ettore et al., 2025
  • Poster

Objective Measures of Stress: Association of Speech Features and Cortisol

  • Menne et al., 2025
  • Poster

Detecting Apathy through Automatic Acoustic Speech Analysis in People with Parkinson’s Disease

  • Thies et al., 2025
  • Poster

Automatically Screening for Prodromal Parkinsonism in Isolated REM Sleep Behavior Disorder Using Speech Biomarkers for Articulatory Performance

  • Tröger et al., 2025
  • Poster

Screening for AD Stages in the Biofinder Primary Care Cohort Using a Digital Speech Biomarker for Cognition (SB-C)

  • König et al., 2025
  • Poster

Speech Measures Associated with the Course of Symptoms Severity in Patients with MDD

  • Menne et al., 2025
  • Poster

Practice Effects in Digital Semantic Verbal Fluency Assessments Improve Detection of Cognitive Impairments in Older-Age Memory Clinic Population

  • Tröger et al., 2025
  • Poster

Identifying People with Amyotrophic Lateral Sclerosis through an Automatic Dysarthria Score Across Multiple Languages

  • Thies et al., 2024
  • Symposium

Benefits of Automated Speech Analysis in Psychiatry

  • Menne et al., 2024
  • Poster

Automatic Measure of Speech Intelligibility as a Meaningful Digital Biomarker for Patients with Motor Speech Disorders

  • Linz et al., 2024
  • Poster

Screening for Cognitive Impairment across Four Different European Dementia Cohorts Using an Automatic Digital Cognitive Assessment

  • Tröger et al., 2024
  • Poster

Automatic Screening for CDR Stages in the Swedish H70 Birth Cohort Using a Digital Speech Biomarker for Cognition SB-C

  • Mallick et al., 2024
  • Poster

Memory features obtained through automated phone calls associate to the intensity of subjective cognitive decline in cognitively unimpaired individuals

  • Porta-Mas et al., 2024
  • Poster

Estimating the benefits of pre-screening Alzheimer’s trials using blood-based biomarkers and digital cognitive assessments

  • Linz et al., 2024
  • Talk

Assessing neuropsychiatric symptoms through speech analysis in early dementia patients

  • Alexopoulou et al., 2024
  • Poster

Detecting impulsivity through speech in patients with Parkinson’s Disease: A principle proof study

  • Thies et al., 2024
  • Poster

The ki: SB-M intelligibility score — An automatic measure for intelligibility in motor speech disorders

  • Tröger et al., 2024
  • Poster

Speech biomarkers for dysarthria in Parkinson’s Disease — Clinical validation across two languages

  • Tröger et al., 2024
  • Poster

Speech pauses: biomarkers for differentiating depressed patients from healthy controls

  • Menne et al., 2024
  • Poster

Two-minute automated speech analysis: comparable performance to Beck Depression Inventory-II in distinguishing depressed and healthy individuals

  • Menne et al., 2024
  • Poster

Automated speech analysis for fatigue detection in multiple sclerosis

  • Dias et al., 2024
  • Poster

Automatic multilingual analysis of semantic verbal fluency for dementia screening in Swahili and English: a feasibility study

  • Linz et al., 2024
  • Poster

Identification of underlying AD pathology in cognitively unimpaired individuals with subjective cognitive decline by the means of automated speech and language processing

  • Sánchez-Benavides et al., 2024
  • Talk

Associations between speech-based biomarkers of cognition and traditional neuropsychological assessments in a preclinical AD cohort

  • Alexopoulou et al., 2024
  • Invited Talk

Novel digital speech biomarker for early detection of Alzheimer’s Disease

  • König et al., 2024
  • Poster

Acoustic speech features from a picture description task measure bulbar symptoms in ALS

  • Lindsay et al., 2024
  • Poster

Automatically extracted linguistic features of MADRS clinical interview are associated with depression severity

  • Ettore et al., 2024
  • Poster

Speech biomarkers modelling depression severity

  • Menne et al., 2024
  • Poster

Low-burden digital speech biomarkers for early diagnosis and prognosis in Parkinson’s Disease: study design and protocol

  • Jäck et al., 2024
  • Poster

Usability of phone-based cognitive assessments for developing a digital speech-based biomarker for early detection of Alzheimer’s disease

  • Köhler et al., 2024
  • Poster

Using acoustic speech biomarkers to detect isolated REM sleep behavior disorder

  • Tröger et al., 2024
  • Poster

Distinct acoustic speech profiles differentiating AD and PD from a reading passage in Spanish

  • Tröger et al., 2024
  • Poster

Pause-related speech biomarkers measure cognitive impairment in MS

  • Schäfer et al., 2024
  • Poster

Optimizing Diagnostic Efficiency: Trade-Off Analysis of RAVLT Trials in Discriminating Mild and Subjective Cognitive Impairment

  • Dörr et al., 2024
  • Poster

Automatic Detection of Cheating Behavior on Remotely Conducted Word List Learning Tests Using Speech Analysis

  • Mallick et al., 2024
  • Poster

Linguistic features identify MS-related early cognitive impairment in narrative speech

  • Garthof et al., 2023
  • Poster

Validating an automatic phone-based speech biomarker measuring cognition SB-C against PACC5 and MoCA in the Swedish H70 epidemiological cohort

  • Tröger et al., 2023
  • Poster

Building and evaluating a speech biomarker from 2-seconds sustained phonation to detect and monitor Parkinson’s disease

  • Tröger et al., 2023
  • Poster

Association of Speech and Language features with Biomarkers in Early Stage Alzheimer patients

  • König et al., 2023
  • Poster

Pre-Screening Prodromal AD Trial Populations over the Telephone Using a Speech Biomarker for Cognition — Preliminary Results from AUTONOMY Phase 2 AD Trial Recruitment

  • Ruhmel et al., 2022
  • Poster

Dementia vs. Depression: new methods for differential diagnosis using automatic speech analysis

  • Labbé et al., 2022
  • Poster

Validation of the ki:e SB-C: a Novel Digital Speech Biomarker for Cognition in a Dutch Memory Clinic Population

  • Linz et al., 2022
  • Poster

Screening for MCI in the Swedish H70 Birth Cohort Study using digital automatic speech biomarker tests for cognition and a machine Learning classifier

  • Skoog et al., 2022
  • Poster

PROSPECT-AD: Population-based screening over speech for clinical trials in AD

  • König et al., 2021
  • Talk

Automated speech analysis for detection of cognitive and emotional changes

  • ter Huurne et al., 2021
  • Poster

Remote Cognitive Assessment of Older Adults in Rural Areas by Telemedicine and Automatic Speech & Video Analysis

  • König et al., 2021

KEEP UP TO DATE WITH OUR RESEARCH

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Dr. Nicklas Linz
CEO | DATA SCIENTIST
Dr. Johannes Tröger
CSO | PSYCHOLOGIST
Dr. Alexandra König
HEAD OF CLINICAL RESEARCH

Dr. Felix Menne

CLINICAL RESEARCHER
(PSYCHIATRY)

Dr. Marcelo Dias

CLINICAL RESEARCHER
(MULTIPLE SCLEROSIS)

Dr. Tabea Thies

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