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 1,076–1,094 of 1,094 studies in Digital health tools(page 44 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.
⚠ Preprint — not yet peer-reviewedalzhub usefulness score 16 out of 100.·medRxiv·2025-12-29
Large language models (LLMs) offer new opportunities to synthesize the vast and heterogeneous biomedical literature, yet their potential to support drug target prioritization in complex diseases such as Alzheimer’s disease (AD) remains largely unexplored. 1 key finding →
⚠ Preprint — not yet peer-reviewedalzhub usefulness score 16 out of 100.·medRxiv·2026-01-25
A RAG-based LLM pipeline without structured ICD codes improved dementia ascertainment from EHR data compared with ICD-based rules and keyword-based filtering. 4 key findings →
⚠ Preprint — not yet peer-reviewedalzhub usefulness score 16 out of 100.·medRxiv·2026-04-06
The prevalence of dementia and Parkinson’s disease in Russia varies widely depending on diagnostic method, age group, and study design. 2 key findings →
⚠ Preprint — not yet peer-reviewedalzhub usefulness score 16 out of 100.·Research Square·2026-10-21
Although advances have been made in dementia symptom management, early detection during stages when interventions are most effective remains a significant challenge. 4 key findings →
⚠ Preprint — not yet peer-reviewedalzhub usefulness score 16 out of 100.·Preprints.org·2026-10-12
Standardized cognitive and functional assessments, such as those in the National Alzheimer’s Coordinating Center (NACC) Uniform Data Set (UDS), are central to detecting and monitoring Alzheimer’s disease, yet their administration and scoring depend on trained examiners who record and score responses by hand. 1 key finding →
⚠ Preprint — not yet peer-reviewedalzhub usefulness score 16 out of 100.·Research Square·2026-09-11
Amyloid-β deposition begins in the earliest preclinical stages of Alzheimer's disease, long before cognitive decline is detectable by standard clinical assessments, which are often limited by ceiling effects and create a need for non-invasive, scalable markers. 1 key finding →
⚠ Preprint — not yet peer-reviewedalzhub usefulness score 16 out of 100.·PsyArXiv·2026-09-03
Alzheimer's Disease (AD) detection from spoken language has advanced considerably with the rise of large pre-trained speech and language models, including wav2vec 2.0, BERT, generative LLMs, and emerging audio-LLMs. 5 key findings →
⚠ Preprint — not yet peer-reviewedalzhub usefulness score 16 out of 100.·Preprints.org·2026-09-01
Idiopathic normal pressure hydrocephalus (iNPH) is a potentially reversible cause of gait impairment, cognitive decline, and urinary dysfunction in older adults, yet identifying patients most likely to benefit from cerebrospinal fluid (CSF) diversion remains a major diagnostic challenge. 2 key findings →
⚠ Preprint — not yet peer-reviewedalzhub usefulness score 16 out of 100.·medRxiv·2026-07-17
Engaging 55 research staff across 25 sites and 3 physician-reviewers, this study is the first to demonstrate feasibility of a VANE as an efficient neurological examination model enabled by commonly used devices. 2 key findings →
⚠ Preprint — not yet peer-reviewedalzhub usefulness score 16 out of 100.·PsyArXiv·2026-07-14
Recent research has revealed that linguistic features are effective digital markers for the early detection of Alzheimer’s disease (AD). 5 key findings →
⚠ Preprint — not yet peer-reviewedalzhub usefulness score 16 out of 100.·medRxiv·2025-12-15
The MCI group had the most surprising findings—although they were cognitively similar to the control group, they were less physically active than the AD group and had the worst sleep efficiency. 3 key findings →
⚠ Preprint — not yet peer-reviewedalzhub usefulness score 16 out of 100.·medRxiv·2026-01-21
In cognitively unimpaired older adults, associations between sleep disturbances and psycho-affective symptoms differ according to Aβ status. 2 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.