Digital biomarkers are revolutionizing medicine in ways that were unimaginable a few years ago. 1 key finding →
Evidence: low
Full summary, score breakdown and related studies → Original source
Research
29,380 Alzheimer's and dementia studies in plain English, each scored out of 100.
Cognitive and depressive symptoms co-occur, complicating detection of mild cognitive impairment (MCI) and early dementia. 5 key findings →
Participants: 72 Evidence: low
Full summary, score breakdown and related studies → Original source
The NeuroTrax Mindstreams computerized cognitive assessment system was designed for widespread clinical and research use in detecting mild cognitive impairment (MCI). 1 key finding →
Participants: 30 Evidence: low
Full summary, score breakdown and related studies → Original source
The machine learning model predicted MMSE scores with a root-mean-squared error (RMSE) of 2.43 in the BH test set. 4 key findings →
Participants: 945 Evidence: moderate
Full summary, score breakdown and related studies → Original source Free full text
CogState and standard neuropsychological task scores were significantly lower for dementia participants than that of the nondementia groups (P < .05), with a single CogState test distinguishing control from MCI participants, but minimal differentiation existing between dementias using the CogState. 2 key findings →
Participants: 37 Evidence: low
Full summary, score breakdown and related studies → Original source
In established dementia, administration of the CogState tasks appears sensitive to cognitive impairment in dementia. 1 key finding →
Participants: 23 Evidence: low
Full summary, score breakdown and related studies → Original source
Dementia poses a growing challenge for health services but remains stigmatized and under-recognized. 3 key findings →
Evidence: low
Full summary, score breakdown and related studies → Original source
The majority of participants were women (63%), and large number of them used technological devices such as a smartphone (91%) or computer (81%). 4 key findings →
Evidence: low
Full summary, score breakdown and related studies → Original source
Digital biomarkers are of growing interest in the field of Alzheimer's Disease (AD) research. 1 key finding →
Evidence: low
Full summary, score breakdown and related studies → Original source
With the global population rapidly aging, dementia has emerged as a major public health concern. 4 key findings →
Evidence: low
Full summary, score breakdown and related studies → Original source
Dementia poses a significant global health problem, necessitating early detection for effective intervention. 1 key finding →
Evidence: low
Full summary, score breakdown and related studies → Original source
The DCR scaled well with FAQ scores, and ML classifiers trained on multimodal DCR features demonstrated strong performance in predicting functional impairment on a held-out test set. 3 key findings →
Evidence: low
Full summary, score breakdown and related studies → Original source
The advent of disease-modifying treatments and risk-reduction strategies in the clinic have increased the demand for biomarkers for early disease detection, prediction of clinical course of disease, individual risk prediction and monitoring of treatment effects. 2 key findings →
Evidence: low
Full summary, score breakdown and related studies → Original source
Two major themes were identified: (1) facilitating factors and (2) difficulties related to use. 5 key findings →
Evidence: low
Full summary, score breakdown and related studies → Original source
Community-dwelling African American elders are twice as likely to develop mild cognitive impairment (MCI) or Alzheimer's disease and related dementias than older white Americans and therefore represent a significant at-risk group in need of early monitoring. 5 key findings →
Evidence: low
Full summary, score breakdown and related studies → Original source
This paper introduces a new deep learning-assisted offline smartphone platform for early AD screening, offering rapid disease detection in low-resource areas. 5 key findings →
Evidence: low
Full summary, score breakdown and related studies → Original source
Amyloid beta 1-40 (Aβ 1-40) is one of the most abundant substances in the body with the capacity to form insoluble aggregates and is a universal biomarker for the prediction of Alzheimer's disease. 5 key findings →
Evidence: low
Full summary, score breakdown and related studies → Original source
In this study, we developed a newly designed μPAD for CL immunoassays, leveraging smartphone-based image capture, valve-regulated reaction process, and app-driven result analysis to enable fully automated detection. 5 key findings →
Evidence: low
Full summary, score breakdown and related studies → Original source
Computerized cognitive training (CCT) is a rapidly developing area of cognitive rehabilitation at the intersection of information technology and healthcare, the constantly updated results of which can be successfully translated into practical application in clinical medicine and in particular in gerontology. 1 key finding →
Evidence: low
Full summary, score breakdown and related studies → Original source
Monitoring and assessing the progression of symptoms in neurodegenerative diseases, including Alzheimer's and Parkinson's disease, are critical for improving patient outcomes. 5 key findings →
Evidence: low
Full summary, score breakdown and related studies → Original source
We conclude with an interdependent list of challenges that must be collaboratively addressed before these endpoints are widely adopted. 1 key finding →
Evidence: low
Full summary, score breakdown and related studies → Original source
More than 10 million Europeans show signs of mild cognitive impairment (MCI), a transitional stage between normal brain aging and dementia stage memory disorder. 5 key findings →
Evidence: low
Full summary, score breakdown and related studies → Original source
Impaired memory function and challenges in communication affect the ability of people living with dementia to interact with family caregivers socially. 1 key finding →
Evidence: low
Full summary, score breakdown and related studies → Original source
Extreme sleepiness and insomnia not only influence physical health, they also have a significant impact on mental health, such as by causing depression, which has a prevalence of 18% to 21% among young adults aged 16 to 24 in the United Kingdom. 2 key findings →
Design: narrative review Evidence: low
Full summary, score breakdown and related studies → Original source
Subjective cognitive decline is a symptom that may appear in the early stages of Alzheimer's disease. 2 key findings →
Evidence: low
Full summary, score breakdown and related studies → Original source
Where “Free full text” comes from
Free full text links and the Full text may need a subscription label come from Unpaywall, Europe PMC and OpenAlex records of free copies, checked 10 Oct 2026. A study with neither is unknown, not paywalled. Show only studies that are free to read
How the 0–100 score works — and why some entries are capped
This is alzhub's own score. It is not an official metric, not an impact factor, and no journal, publisher or ranking body endorses it. We built it so that a reader who is not a scientist can tell a landmark trial from a conference abstract without having to already know the difference. Every point comes from one of 20 components, all of them printed on the study itself, so you can disagree with our arithmetic rather than having to trust the total.
- Journal tier up to 10 pts
- Journal's citation record up to 4 pts
- Study design up to 12 pts
- Strength of evidence up to 5 pts
- Peer-review validation up to 10 pts
- How recent up to 5 pts
- Sample size up to 4 pts
- Effect reported up to 3 pts
- Studied in people up to 3 pts
- Randomised / blinded up to 2 pts
- Times cited up to 7 pts
- Citations per year up to 5 pts
- Impact for its field and year up to 6 pts
- Cited by studies here up to 6 pts
- Still being cited up to 4 pts
- Senior author's track record up to 4 pts
- Institution's track record up to 3 pts
- Multi-centre collaboration up to 3 pts
- Indexed in PubMed up to 2 pts
- Free to read up to 2 pts
Journals are placed in ordered tiers, never given a numeric impact factor — we could not verify current impact factors from a source we control, and an invented one would be worse than none. Tier 1 is the top-tier general journals (NEJM, The Lancet, JAMA, Nature, Science, Nature Medicine); tier 2 is the leading specialty journals; tier 3 is every other peer-reviewed journal. A separate part scores how much the journal's own papers are cited, which tells the tier-3 journals apart.
Two rules we don't bend. First, we never fill in a missing value: if a record does not state a sample size or a design, that component scores zero, and if we simply have no data for a part, such as a citation count, that part is left out and the study is scored on the parts we could check. The study card says which. Second, anything that is not a peer-reviewed article is capped at 16/100 and carries a warning chip — so a conference abstract or a company press release can never outrank a peer-reviewed paper, no matter how good it looks.
We rank a rigorous null result — a good trial showing that something does not work — above an early positive finding. Someone deciding whether to buy a supplement is served by that, and the rigour is already counted by the design and journal components.
The score is computed from the published data alone and is reproducible: the same file always yields the same numbers.
See the whole rubric drawn out → — four charts covering all 29,380 studies: how the scores are spread and where the cap bites, which of the 20 components the library is strong and weak on, which subjects rest on stronger evidence, and what kinds of study each subject is actually built from.
What this library is — and isn't
This is a large sample of the Alzheimer's literature, not an exhaustive index of it. It holds 29,380 records, built mostly from automated pulls of Europe PMC (63.3% of the library) and OpenAlex (17.3%), plus smaller pulls from PubMed, Crossref and medRxiv. If a study, a drug, or a finding isn't here, that is not evidence it doesn't exist in the literature — it may simply not have been pulled in yet.
1,037 records (3.5% of the library) are not peer-reviewed — 964 of those are preprints posted before any journal review, and the rest are conference abstracts, regulatory notices and reports. Every study card on this page states its status plainly, and the score above is capped for anything that isn't a peer-reviewed article.
See the full, machine-readable breakdown of this library's coverage →