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 101–125 of 1,094 studies in Digital health tools(page 5 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.
The synthesized evidence is paramount to developing sophisticated AI approaches to reliably capture and quantify multiple subtle MRI changes in the whole brain that exemplify the complexity and heterogeneity of AD and brain aging. 2 key findings →
Previous neuroimaging studies reveal that MCI is associated with aberrant sensory-perceptual processing in cortical brain regions subserving auditory and language function. 5 key findings →
Both interventions were highly feasible and acceptable and allowed improvement in different aspects of cognitive and psychosocial functioning in MCI subjects. 4 key findings →
Comparisons of ADNC in typical amnestic versus atypical aphasic dementia and of TDP in type A versus type C revealed fundamental biological and clinical differences, suggesting that members of each pair may constitute distinct clinicopathologic entities despite identical downstream proteinopathies. 1 key finding →
✓ Peer-reviewedalzhub usefulness score 62 out of 100.·Maturitas·2020-09-24
The testing conditions and the accessibility of telemedicine yield inconclusive results as to whether telemedicine can improve the management of dementia in geriatric individuals. 4 key findings →
✓ Peer-reviewedalzhub usefulness score 62 out of 100.·Scientific reports·2018-03-07
To develop a new method for measuring Alzheimer's disease (AD)-specific similarity of cortical atrophy patterns at the individual-level, we employed an individual-level machine learning algorithm. 5 key findings →
✓ Peer-reviewedalzhub usefulness score 62 out of 100.·Neurology·2025-04-10
We evaluated 62 Automated speech analysis demonstrated high accuracy in differentiating FTD subtypes and provided insights into the neural basis of language impairments. 3 key findings →
Underclassification of dementia from claims records can be partially remedied by increasing the period during which claims are compiled, but additional diagnostic sources will likely be needed to increase prevalence counts closer to 100% of true cases. 2 key findings →
This study demonstrates that influenza vaccination is associated with reduced AD risk in a nationwide sample of US adults aged 65 and older. 2 key findings →
The associations with vascular dementia may be one component of a broader association between autoimmune diseases and vascular damage. 5 key findings →
However, the credibility of these estimates is limited by the methodological quality of studies, primarily resulting from insufficient blinding of researchers interpreting the reference test. 1 key finding →
A cognitive symptom measure identified in discharge notes facilitated stratification of risk for dementia up to 8 years before diagnosis. 3 key findings →
Additionally, the performance of each scale to predict dementia pathology both individually and in combination was evaluated using a support vector classifier, which was compared with expert scan assessment to estimate clinical value. 2 key findings →
Although dopamine replacement therapy remains a core component of Parkinson's disease treatment, the onset of motor fluctuations and dyskinetic movements might require a range of medical and surgical approaches from a multidisciplinary team, and important new approaches in the delivery of dopamine replacement are becoming available. 4 key findings →
Our results suggest that search strategies that use automated electronic search strategies to extract Charlson comorbidities from the clinical notes contained within the electronic medical record are feasible and reliable. 3 key findings →
Changes in the properties of DTI may be the potential mechanism of WMH-related MCI, especially the right IFOF and the right ILF, which may become imaging markers for predicting WMH-related cognitive dysfunction. 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.