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 126–150 of 1,094 studies in Digital health tools(page 6 of 44)· 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.
What “Digital health tools” covers
Digital health tools — Apps, wearables, online tests and other technology used to detect, monitor or support people with dementia.
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.
✓ Peer-reviewedalzhub usefulness score 61 out of 100.·Human brain mapping·2021-10-09
The structure and integrity of the ageing brain is interchangeably linked to physical health, and cardiometabolic risk factors (CMRs) are associated with dementia and other brain disorders. 4 key findings →
✓ Peer-reviewedalzhub usefulness score 61 out of 100.·NeuroImage. Clinical·2017-02-06
Our study demonstrates that MRI, a widespread imaging technology, can individually identify bvFTD with high accuracy in multi-center imaging data, paving the road to personalized diagnostic approaches in the future. 2 key findings →
We aimed to characterise the brain structure of superagers and identify demographic, lifestyle, and clinical factors associated with this phenotype. 4 key findings →
✓ Peer-reviewedalzhub usefulness score 61 out of 100.·Neurology·2021-06-22
Our results demonstrate that different MAPT mutations give rise to distinct atrophy patterns and clinical phenotype, providing insights into the underlying disease biology and potential utility for patient stratification in therapeutic trials. 3 key findings →
Within the training set, individuals closer to or beyond their parent's symptom onset demonstrated reduced grey matter volume and altered functional connectivity, specifically in regions known to be vulnerable in Alzheimer's disease. 5 key findings →
✓ Peer-reviewedalzhub usefulness score 61 out of 100.·Diabetes care·2024-10-01
Diabetes and even prediabetes are associated with accelerated brain aging, especially among men and people with poor cardiometabolic health. 4 key findings →
This simple and feasible cognitive impairment prediction model could identify community-dwelling elderly people at the greatest 3-year risk for cognitive impairment, which could help community nurses in the early identification of dementia. 1 key finding →
The systematic literature review supported the argument that language and speech could successfully be used to detect dementia automatically. 2 key findings →
✓ Peer-reviewedalzhub usefulness score 60 out of 100.·BMC geriatrics·2020-05-06
Digital RT proved an innovative approach to manage PWD and will thus help PWD achieve a better mood and have more opportunities to engage in social interactions. 3 key findings →
This analysis provides a comprehensive overview of the AI-related research conducted in the field of health care, which helps researchers, policy makers, and practitioners better understand the development of health care-related AI research and possible practice implications. 2 key findings →
✓ Peer-reviewedalzhub usefulness score 60 out of 100.·BMC geriatrics·2014-05-28
The results should form the basis for future health policy decisions on the treatment of patients with multiple chronic diseases and also show the need to introduce new ways of providing long-term care to this population. 3 key findings →
Human DNA methylation data have been used to develop biomarkers of ageing, referred to as 'epigenetic clocks', which have been widely used to identify differences between chronological age and biological age in health and disease including neurodegeneration, dementia and other brain phenotypes. 2 key findings →
The data from this study provide strong preliminary evidence that, in patients newly admitted to post-acute care facilities from acute care hospitals, delirium symptoms are prevalent, persistent, and associated with poor functional recovery. 4 key findings →
✓ Peer-reviewedalzhub usefulness score 59 out of 100.·Annals of neurology·1996-02-01
We report the clinical, neuroimaging, and neuropathologic features of progressive nonfluent aphasia (PNFA), a rare neurodegenerative syndrome most notable for its distinct language disturbance. 3 key findings →
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.