Evidence map›Paper›PMID 42083983›Full record

ReviewCurrent opinion in psychiatry2026

The myth of digital biomarkers in Alzheimer's disease: how to make them a reality.

Rhoda Au, Katherine A Gifford, Ioannis Ch Paschalidis, Paul Wighton, Max Levin, Farhad Imam, Niranjan Bose, Abhi Pratap

Abstract readReview
In one paragraph

Review in Current opinion in psychiatry, 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

8 authors.

Rhoda AuDepartment of Anatomy & Neurobiology, Boston University Chobanian & Avedisian School of Medicine.
Katherine A GiffordDepartment of Anatomy & Neurobiology, Boston University Chobanian & Avedisian School of Medicine.
Ioannis Ch PaschalidisCollege of Engineering, Faculty of Computing & Data Sciences, and Hariri Institute for Computing, Boston University.
Paul WightonMartinos Center for Biomedical Imaging, Massachusetts General Hospital, Boston, Massachusetts.
Max LevinDepartment of Anatomy & Neurobiology, Boston University Chobanian & Avedisian School of Medicine.
Farhad ImamGates Ventures.
Niranjan BoseGates Ventures.
Abhi PratapDepartment of Anatomy & Neurobiology, Boston University Chobanian & Avedisian School of Medicine.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purpose of reviewWith an estimated 41.1B digital devices, the term "digital biomarkers" has been increasingly bandied about in the research literature. There is, however, a significant disconnect between the presumption of digital biomarkers and the reality of digital biomarkers. RECENT

findingsThe research literature embraces the concept of digital biomarkers without concomitant evidence for validation of digital measures as biomarkers. Unlike imaging or blood-based biomarkers, there is a woeful lack of research dedicated to validating digital measures as biomarkers. This gap also presents an opportunity. Regulatory agencies worldwide have long-standing protocols used by pharmaceutical and biotech companies to stand up quality management systems (QMS) that track research from inception to regulatory approved submissions. The recent United States (US) Food and Drug Administration (FDA) approval of Alzheimer's disease (AD) plasma biomarkers is another example where successful QMS implementation provided the processes and transparency necessary to obtain approval. Regulatory guidelines for digital technology validation are more circumspect on validation pathways of AD digital biomarkers, but FDA provides a framework for building a QMS that could potentially do so. SUMMARY: Building an open source QMS for AD digital biomarker validation will be a critical breakthrough for harnessing the potential of digital technologies for detection, monitoring and treatment of AD and related disorders.

Indexed as

Alzheimer DiseaseBiomarkersDigital TechnologyDigital HealthHumansUnited StatesUnited States Food and Drug AdministrationBiomarkersdigital biomarkersdigital technologyquality management systemregulatory agency validation

Identifiers

PMID42083983
PMCPMC13236039

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.