Evidence map›Paper›PMID 42318897›Full record

ArticleAlzheimer's & dementia : the journal of the Alzheimer's Association2026

Digital speech-based markers to advance prognosis in Alzheimer's disease.

Melissa Lee, Stephan Meylan, Eli Shobin, SpeechDx Consortium, Laura Nisenbaum, Aishwarya Sukumar, Lampros Kourtis

Abstract read
In one paragraph

Article in Alzheimer's & dementia : the journal of the Alzheimer's Association, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Melissa LeeAlzheimer's Drug Discovery Foundation, New York, New York, USA.
Stephan MeylanDepartment of Linguistics, University of California, Berkeley, Berkeley, California, USA.
Eli ShobinAlzheimer's Drug Discovery Foundation, New York, New York, USA.
SpeechDx Consortium
Laura NisenbaumAlzheimer's Drug Discovery Foundation, New York, New York, USA.
Aishwarya SukumarGates Ventures, Kirkland, Washington, USA.
Lampros KourtisAlzheimer's Drug Discovery Foundation, New York, New York, USA.

Funding

ADRC Consortium for Clarity in ADRD Research Through ImagingU01AG082350 · NIA · UNIVERSITY OF WISCONSIN-MADISON · PI Sarah Biber, BRADFORD C DICKERSON · 2023 to 2026
$90.0M
The Clinical Significance of Incidental White Matter Lesions on MRI Amongst a Diverse Population with Cognitive Complaints (INDEED)U19NS120384 · NINDS · UNIVERSITY OF CALIFORNIA AT DAVIS · PI DAVID K JOHNSON · 2020 to 2026
$61.9M
The Emory Healthy Brain Study: Discovering Predictive Biomarkers for Alzheimer's DiseaseR01AG070937 · NIA · EMORY UNIVERSITY · PI LAH, JAMES J · 2021 to 2025
$35.2M
The Goizueta Alzheimer's Disease Research CenterP30AG066511 · NIA · EMORY UNIVERSITY · PI ALLAN I LEVEY · 2020 to 2026
$29.0M
Research Education ComponentP30AG072976 · NIA · INDIANA UNIVERSITY INDIANAPOLIS · PI ANDREW J SAYKIN · 2021 to 2026
$24.1M
Alzheimer Diagnosis in older Adults with Chronic Conditions ADACC NetworkU24AG082930 · NIA · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI Nicole R. Fowler, Thomas K Karikari · 2023 to 2026
$7.3M
Digital Cognitive Assessment of Preclinical Alzheimer's Disease and Related DementiasR01AG083735 · NIA · BOSTON UNIVERSITY MEDICAL CAMPUS · PI Rhoda Au, Vijaya B. Kolachalama · 2024 to 2026
$2.4M
Alzheimer's Association AARFD-23-1150584Alzheimer's Drug Discovery Foundation's Diagnostics AcceleratorAmerican Heart Association 20SFRN35360180Health Department of the Catalan Government, Ajuntament de Barcelona, Spanish Ministry of Science and Innovation PID2022-139298OA-C22NIH HHS OT2-OD032720NIH HHS R01AG083735NIH HHS U19NS120384NIH/NIA 2P30AG013846NIH/NIA K08AG086588-01NIH/NIA P30AG066511NIH/NIA P30AG072976NIH/NIA R01AG070937NIH/NIA U01AG082350NIH/NIA U24AG082930Universities and Research Secretariat, Ministry of Business and Knowledge of the Catalan Government 2021 SGR 00913
6 · The paper itself

Abstract

Validated prognostic tools are essential to advance drug development and clinical care in Alzheimer's disease, particularly as the field shifts toward the prevention of cognitive decline. While progress has been made in developing blood-based biomarkers for the early detection of amyloid pathology, amyloid positivity alone does not reliably predict progression to symptomatic disease. Digital markers can serve as complementary prognostic tools to inform early intervention strategies. Among digital markers, speech-based markers offer a scalable, non-invasive, and cost-effective approach to predicting and monitoring cognitive decline. However, the development of validated speech-based tools has been constrained by the lack of large, multilingual datasets with longitudinal sampling, deep phenotyping, harmonized clinical and biomarker data, and adequate representation of preclinical populations. SpeechDx is a 3-year, multinational, multilingual observational study (n = 2006) designed to address these gaps and accelerate the development of speech-based tools to inform early risk assessment, enable timely intervention, and guide personalized care.

Indexed as

Alzheimer DiseaseBiomarkersSpeechDigital HealthDisease ProgressionHumansPrognosisBiomarkersAlzheimer's diseaseartificial intelligencebiomarkersblood biomarkerscognitioncognitive impairmentcognitive markersdementiadiagnosisdigital markersdisease monitoringprognosisprognostic biomarkersspeech

Identifiers

PMID42318897
PMCPMC13280984

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.