Recent advances in mobile devices have made profound changes in people's daily lives. 5 key findings →
Evidence: low
Full summary, score breakdown and related studies → Original source Free full text
Research
27,380 Alzheimer's and dementia studies in plain English, each scored out of 100.
Technological advances will catalyze groundbreaking discoveries for effective treatments of neurodegenerative cognitive disorders, such as AD, and inform novel strategies for dementia prevention and sustained lifelong cognitive health. 1 key finding →
Evidence: low
Full summary, score breakdown and related studies → Original source Free full text
Alzheimer's Disease (AD) is a neurodegenerative disease that affects cognition and is the most common cause of dementia in the elderly. 2 key findings →
Evidence: low
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In the usability assessment, eight categories of errors were distinguished, of which three were of critical, two of medium, and three of low severity. 1 key finding →
Evidence: low
Full summary, score breakdown and related studies → Original source Free full text
Autism is characterized by restricted, repetitive behaviors and impairment in socialization and communication. 4 key findings →
Evidence: low
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BackgroundAir pollution has been almost exclusively measured by region-level ambient exposure of particulate matter (PM) from government agencies (e.g., EPA), which does not capture the potentially large within-region variation and takes no consideration of human mobility in daily life. 4 key findings →
Evidence: low
Full summary, score breakdown and related studies → Original source Free full text
Digital transformation in banking has significantly improved efficiency, including in the critical Letter of Credit (LC) examination area. 2 key findings →
Evidence: low
Full summary, score breakdown and related studies → Original source Free full text
90%) rated the app favorably, stating it was enjoyable and easy to complete unsupervised. 4 key findings →
Evidence: moderate
Full summary, score breakdown and related studies → Original source Free full text
Fourteen studies met eligibility criteria, covering populations from healthy controls to individuals with subjective cognitive decline, MCI, AD, and other dementias. 5 key findings →
Evidence: low
Full summary, score breakdown and related studies → Original source Free full text
Alzheimer\\\'s disease (AD), the leading cause of dementia worldwide, affects more than 55 million individuals and gen-erates annual healthcare costs exceeding two trillion USD [14]. 5 key findings →
Design: longitudinal study Evidence: moderate
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Assistive technologies hold significant potential to enhance the quality of life for persons with dementia and their caregivers by addressing key concerns related to safety, independence, and social inclusion. 4 key findings →
Evidence: low
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A total of 11 dyads participated in the study. 5 key findings →
Evidence: low
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The findings revealed three core areas: (a) types of digital tools used, including online platforms, video conferencing, mobile applications and SMS services; (b) educational domains addressed, such as knowledge and skills, psychological support, communication and social interaction, and environmental and technological adaptation; and (c) implementation strategies and outcomes, highlighting personalisation, cultural sensitivity and technological adaptability, which improved knowledge, emotional well-being and carer self-efficacy. 5 key findings →
Evidence: low
Full summary, score breakdown and related studies → Original source Free full text
Artificial intelligence (AI) is driving transformative changes in the field of medicine, with its successful application relying on accurate data and rigorous quality standards. 1 key finding →
Evidence: low
Full summary, score breakdown and related studies → Original source Free full text
After screening 3670 articles for eligibility, the review includes 12 studies. 5 key findings →
Evidence: low
Full summary, score breakdown and related studies → Original source Free full text
39/100
Dementia is a condition that affects a very large population, and an effective clinical diagnosis can lead to early intervention to delay progressive cognitive decline. 2 key findings →
Evidence: low
Full summary, score breakdown and related studies → Original source Free full text
Traditional dementia-prevention programs have limited accessibility and lack continuous monitoring, making sustained cognitive and emotional support challenging. 4 key findings →
Evidence: low
Full summary, score breakdown and related studies → Original source Free full text
Early detection of dementia is a key requirement for effective patient management. 1 key finding →
Evidence: low
Full summary, score breakdown and related studies → Original source Free full text
39/100
Despite substantial investment in biomedical and pharmaceutical research over the past two decades, the global prevalence of Alzheimer's disease (AD) and AD-related dementias (AD/ADRD) is still rising. 1 key finding →
Evidence: low
Full summary, score breakdown and related studies → Original source Free full text
A total of 63 studies were included in this study. 5 key findings →
Participants: 63 Evidence: low
Full summary, score breakdown and related studies → Original source Free full text
39/100
We showed that consumer wearables are a valid tool for long-term data collection in this vulnerable patient population. 3 key findings →
Participants: 16 Evidence: low
Full summary, score breakdown and related studies → Original source Free full text
Utilizing machine learning, we identify a 12-protein panel from cerebrospinal fluid proteomic datasets. 5 key findings →
Evidence: low
Full summary, score breakdown and related studies → Original source Free full text
Oculomics is an emerging field that leverages ophthalmic imaging data to identify biomarkers of systemic disease, facilitating early diagnosis and risk stratification. 5 key findings →
Evidence: low
Full summary, score breakdown and related studies → Original source Free full text
We conducted a scoping review to map the rapidly evolving landscape of wearable and ambient sensing technologies for monitoring people with dementia across home and institutional settings. 4 key findings →
Evidence: low
Full summary, score breakdown and related studies → Original source Free full text
Mild Cognitive Impairment (MCI) is a transitional stage between normal age-related cognitive decline and the more severe cognitive loss seen in dementia. 1 key finding →
Evidence: low
Full summary, score breakdown and related studies → Original source Free full text
From across this tag
9 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 9. The same 9 appear here every time.
- Overview of the Complex Figure Test and Its Clinical Application in Neuropsychiatric Disorders, Including Copying and Recall
- Impact of assistive technologies on caregiver burden and perseverance for people with dementia at home
- Artificial intelligence in atrial fibrillation – Timely diagnosis, risk assessment and personalized management
- Automated quantification of cerebral microbleeds for ARIA-H monitoring in Aging and Alzheimer’s Disease: A multicenter deep learning validation
- Association Between Plasma Metabolomic Profile and Machine Learning‐Based Brain Age
- Resource-stratified machine learning framework for cognitive status classification and mild cognitive impairment to dementia progression prediction
- Prediction of cognitive impairment via deep learning trained with multi-center neuropsychological test data
- Identification of Mild Cognitive Impairment From Speech in Swedish Using Deep Sequential Neural Networks
- DNA sensors are expressed in astrocytes and microglia in vitro and are upregulated during gliosis in neurodegenerative disease
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 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.
See the full, machine-readable breakdown of this library's coverage →