You can call any of these for free. You do not need a diagnosis, an appointment, or a crisis to call — questions and plain exhaustion are reasons enough.
Alzheimer's Association 24/7 Helpline800-272-390024 hours a day, 365 days a yearFree, confidential support and information for people with dementia, caregivers, families and the public. Master's-level clinicians. Also Spanish.
988 Suicide & Crisis Lifeline98824/7Call or text 988, or chat at 988lifeline.org. For anyone in emotional distress or a mental-health crisis, including caregivers.
Alzheimer's Foundation of America (AFA) Helpline866-232-84849:00 am - 9:00 pm ET, seven days a weekLicensed social workers providing support, info and referrals. Also text message and web chat.Text: 646-586-5283
In a medical emergency, call 911.
More numbers, and what each line does, on the help page.
Research
27,380 Alzheimer's and dementia studies in plain English, each scored out of 100.
Find studies
Showing 351–375 of 1,109 studies · tagged Digital Tools(page 15 of 45)· 27,380 in the whole library·How the 0–100 score works
From OpenAlex; 12,859 studies have no institution on record and are not counted here.
A note on reading research. One study is rarely the final word.
We try to note the size of a study, whether it was in humans or animals, and how early-stage the finding is. If a summary here doesn't make that clear, treat it with extra caution and check the original source.
MDT-OS and ORR-LDR were weakly-to-moderately correlated with the Preclinical Alzheimer's Cognitive Composite (PACC5) (r = 0.3-0.44, p < .001) and with several other measures of episodic memory, processing speed, and executive function. 5 key findings →
Despite the demonstrated benefits of computerized cognitive training for older adults, little is known about the determinants of training behavior. 3 key findings →
✓ Peer-reviewedalzhub usefulness score 50 out of 100.·Scientific reports·2025-10-09
Mild cognitive impairment (MCI) is a prodromal stage of dementia, and its early detection is critical for improving clinical outcomes. 5 key findings →
✓ Peer-reviewedalzhub usefulness score 50 out of 100.·Digital health·2024-01-23
ANOVA and Bayesian t-test found no significant differences between the task when it was remotely self-administered by participants at home compared to when it was taken under controlled lab conditions. 4 key findings →
✓ Peer-reviewedalzhub usefulness score 50 out of 100.·Trials·2022-05-05
This is the first study to investigate the effect of MAKSCog, an individualised CCT, specifically developed for people with different subtypes of MCI. 5 key findings →
Average performance on the episodic memory (Prices) smartphone task showed the highest accuracy (AUC = 0.77) to distinguish Aβ status. 3 key findings →
Augmenting traditional genome-wide association studies (GWAS) with advanced machine learning algorithms can allow the detection of novel signals in available cohorts. 3 key findings →
The increasing ageing global population is causing an upsurge in ailments related to old age, primarily dementia and Alzheimer's disease, frailty, Parkinson's, and cardiovascular disease, but also a general need for general eldercare as well as active and healthy ageing. 5 key findings →
On clinical data, this innovative approach for early diagnosis might provide more insight into pathophysiological processes underlying degenerative changes, as well as toward a personalized risk evaluation for pharmacological, nonpharmacological, and rehabilitation treatments. 1 key finding →
✓ Peer-reviewedalzhub usefulness score 49 out of 100.·ACS nano·2022-03-25
The study of Alzheimer's disease (AD), the most common cause of dementia, faces challenges in terms of understanding the cause, monitoring the pathogenesis, and developing early diagnoses and effective treatments. 5 key findings →
Higher-order factors (e.g., emotional distress, subjective health), which reflect complex interactions between various aspects of an individual, were more important than narrowly defined factors (e.g., clinical and behavioral indicators) when evaluated concurrently to predict cognitive impairment and dementia. 2 key findings →
Easily accessible biomarkers for Alzheimer's disease (AD), Parkinson's disease (PD), frontotemporal dementia (FTD), and related neurodegenerative disorders are urgently needed in an aging society to assist early-stage diagnoses. 4 key findings →
The deficits characteristic of Alzheimer's disease (AD) are believed to result, at least in part, from the neurotoxic effects of beta-amyloid peptides, a set of 39-43 amino acid fragments derived proteolytically from beta-amyloid precursor protein (APP). 4 key findings →
✓ Peer-reviewedalzhub usefulness score 49 out of 100.·Neurology·2004-02-01
Amyloid precursor protein (APP), ADAM 10, and beta-site-APP cleaving enzyme (BACE) alterations were evaluated in platelets of 31 patients with Alzheimer disease (AD) and 15 age-matched controls. 2 key findings →
There were observable geographic variations in education (range 13.4-16.2 years, Figure 1), age (range 66.7-72.4 years) and severable modifiable risk factors for dementia across Tasmania, Australia. 5 key findings →
✓ Peer-reviewedalzhub usefulness score 49 out of 100.·NeuroImage·2025-07-16
This comprehensive review examines the integration of Quantitative Electroencephalography (qEEG) and Artificial Intelligence (AI) in the detection and diagnosis of Alzheimer's Disease (AD). 5 key findings →
We observed that existing AI-assisted dietary assessment tools are integrated with mobile/web-based applications to provide a user-friendly interface. 5 key findings →
10 of the 1,102 studies in this tag, picked by a fixed rule (a hash of each study's address), not by score or date; each page of this list shows a different 10. The same 10 appear here every time.
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 tierup to 10 pts
Journal's citation recordup to 4 pts
Study designup to 12 pts
Strength of evidenceup to 5 pts
Peer-review validationup to 10 pts
How recentup to 5 pts
Sample sizeup to 4 pts
Effect reportedup to 3 pts
Studied in peopleup to 3 pts
Randomised / blindedup to 2 pts
Times citedup to 7 pts
Citations per yearup to 5 pts
Impact for its field and yearup to 6 pts
Cited by studies hereup to 6 pts
Still being citedup to 4 pts
Senior author's track recordup to 4 pts
Institution's track recordup to 3 pts
Multi-centre collaborationup to 3 pts
Indexed in PubMedup to 2 pts
Free to readup 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 27,380 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 27,380 records, built mostly from automated pulls of Europe PMC
(60.6% of the library) and OpenAlex (18.6%),
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.
1,032 records (3.8% of the
library) are not peer-reviewed — 962 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.