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

Acoustic Speech Features from a Picture Description Task Measure Bulbar Symptoms in ALS

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

Cross-Lingual Examination of Language Features and Cognitive Scores From Free Speech

Speech Biomarkers for Dysarthria in Parkinson’s Disease — Clinical Validation Across Spanish and Czech Languages

Automatically Extracted Linguistic Features of MADRS Clinical Interview are associated with Depression Severity

Speech Biomarkers Modelling Depression Severity

Speech-Based Digital Biomarkers for Alzheimer’s Research

Low-burden digital speech biomarkers for early diagnosis and prognosis in Parkinson’s Disease: Study Design and Protocol

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

Using acoustic speech biomarkers to detect isolated REM sleep behavior disorder

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

Pause-related speech biomarkers measure cognitive impairment in MS

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Generating Synthetic Clinical Speech Data through Simulated ASR Deletion Error

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

Artificial Intelligence empowered recruitment for clinical trials

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

Automated speech analysis for detection of cognitive and emotional changes

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

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

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

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

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

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

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

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

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

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

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

Cross-Lingual Examination of Language Features and Cognitive Scores From Free Speech

Speech-Based Digital Biomarkers for Alzheimer’s Research

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

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

Pause-related speech biomarkers measure cognitive impairment in MS

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Generating Synthetic Clinical Speech Data through Simulated ASR Deletion Error

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

Artificial Intelligence empowered recruitment for clinical trials

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

Automated speech analysis for detection of cognitive and emotional changes

Validation ki:e SB-C

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

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

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

ki:e SB-C

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

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

Automated speech analysis for detection of cognitive and emotional changes

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

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

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

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

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

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

Automatic detection of language impairment in ALS

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

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

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

Automatically Extracted Linguistic Features of MADRS Clinical Interview are associated with Depression Severity

Speech Biomarkers Modelling Depression Severity

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

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

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

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

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

Automated speech analysis for detection of cognitive and emotional changes

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

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

Acoustic Speech Features from a Picture Description Task Measure Bulbar Symptoms in ALS

Speech Biomarkers for Dysarthria in Parkinson’s Disease — Clinical Validation Across Spanish and Czech Languages

Low-burden digital speech biomarkers for early diagnosis and prognosis in Parkinson’s Disease: Study Design and Protocol

Using acoustic speech biomarkers to detect isolated REM sleep behavior disorder

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

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

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

Acoustic Speech Features from a Picture Description Task Measure Bulbar Symptoms in ALS

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

Cross-Lingual Examination of Language Features and Cognitive Scores From Free Speech

Speech Biomarkers for Dysarthria in Parkinson’s Disease — Clinical Validation Across Spanish and Czech Languages

Automatically Extracted Linguistic Features of MADRS Clinical Interview are associated with Depression Severity

Speech Biomarkers Modelling Depression Severity

Speech-Based Digital Biomarkers for Alzheimer’s Research

Low-burden digital speech biomarkers for early diagnosis and prognosis in Parkinson’s Disease: Study Design and Protocol

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

Using acoustic speech biomarkers to detect isolated REM sleep behavior disorder

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

Pause-related speech biomarkers measure cognitive impairment in MS

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Generating Synthetic Clinical Speech Data through Simulated ASR Deletion Error

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

Artificial Intelligence empowered recruitment for clinical trials

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

Automated speech analysis for detection of cognitive and emotional changes

Validation ki:e SB-C

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

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

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

ki:e SB-C

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

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

Automated speech analysis for detection of cognitive and emotional changes

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

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

Cross-Lingual Examination of Language Features and Cognitive Scores From Free Speech

Speech-Based Digital Biomarkers for Alzheimer’s Research

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Generating Synthetic Clinical Speech Data through Simulated ASR Deletion Error

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

Artificial Intelligence empowered recruitment for clinical trials

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

Automated speech analysis for detection of cognitive and emotional changes

Validation ki:e SB-C

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

ki:e SB-C

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

Automated speech analysis for detection of cognitive and emotional changes

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

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

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

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

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

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

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

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

Language Modelling for the Clinical Semantic Verbal Fluency Task

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

Predicting dementia screening and staging scores from semantic verbal fluency performance

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

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

Automatically Extracted Linguistic Features of MADRS Clinical Interview are associated with Depression Severity

Speech Biomarkers Modelling Depression Severity

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Generating Synthetic Clinical Speech Data through Simulated ASR Deletion Error

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

Automated speech analysis for detection of cognitive and emotional changes

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

ki:e SB-C

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

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

Automated speech analysis for detection of cognitive and emotional changes

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

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

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

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

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

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

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

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

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

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

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

Pause-related speech biomarkers measure cognitive impairment in MS

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

Acoustic Speech Features from a Picture Description Task Measure Bulbar Symptoms in ALS

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

Automatic detection of language impairment in ALS

Speech Biomarkers for Dysarthria in Parkinson’s Disease — Clinical Validation Across Spanish and Czech Languages

Low-burden digital speech biomarkers for early diagnosis and prognosis in Parkinson’s Disease: Study Design and Protocol

Using acoustic speech biomarkers to detect isolated REM sleep behavior disorder

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

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

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

Acoustic Speech Features from a Picture Description Task Measure Bulbar Symptoms in ALS

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

Cross-Lingual Examination of Language Features and Cognitive Scores From Free Speech

Speech Biomarkers for Dysarthria in Parkinson’s Disease — Clinical Validation Across Spanish and Czech Languages

Automatically Extracted Linguistic Features of MADRS Clinical Interview are associated with Depression Severity

Speech Biomarkers Modelling Depression Severity

Speech-Based Digital Biomarkers for Alzheimer’s Research

Low-burden digital speech biomarkers for early diagnosis and prognosis in Parkinson’s Disease: Study Design and Protocol

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

Using acoustic speech biomarkers to detect isolated REM sleep behavior disorder

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

Pause-related speech biomarkers measure cognitive impairment in MS

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Generating Synthetic Clinical Speech Data through Simulated ASR Deletion Error

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

Artificial Intelligence empowered recruitment for clinical trials

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

Automated speech analysis for detection of cognitive and emotional changes

Validation ki:e SB-C

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

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

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

ki:e SB-C

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

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

Automated speech analysis for detection of cognitive and emotional changes

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

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

Cross-Lingual Examination of Language Features and Cognitive Scores From Free Speech

Speech Biomarkers for Dysarthria in Parkinson’s Disease — Clinical Validation Across Spanish and Czech Languages

Speech-Based Digital Biomarkers for Alzheimer’s Research

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

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

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

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

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

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

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

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