Worldwide, there are nearly 10 million new cases of dementia annually, of which Alzheimer's disease (AD) is the most common. 5 key findings →
Evidence: low
Full summary, score breakdown and related studies → Original source
Research
27,380 Alzheimer's and dementia studies in plain English, each scored out of 100.
Using pre-trained language models can improve AD prediction. 2 key findings →
Evidence: low
Full summary, score breakdown and related studies → Original source
Caregivers in the combined family therapy and technology intervention experienced a significant reduction in depressive symptoms at 6 months. 4 key findings →
Evidence: high
Full summary, score breakdown and related studies → Original source
Object The authors describe the first clinical trial with encapsulated cell biodelivery (ECB) implants that deliver nerve growth factor (NGF) to the cholinergic basal forebrain with the intention of halting the degeneration of cholinergic neurons and the associated cognitive decline in patients with Alzheimer disease (AD). 1 key finding →
Design: open-label trial Evidence: moderate
Full summary, score breakdown and related studies → Original source Full text may need a subscription
Language impairment is an important biomarker of neurodegenerative disorders such as Alzheimer's disease (AD). 1 key finding →
Evidence: low
Full summary, score breakdown and related studies → Original source Free full text
Subtle and spatially complex deformation patterns of hippocampus between patients with AD and healthy control subjects can be detected by machine learning methods. 2 key findings →
Participants: 19 Evidence: low
Full summary, score breakdown and related studies → Original source Free full text
Emerging digital tools have the potential to enable a new generation of qualitative and quantitative assessment of cognitive performance. 2 key findings →
Evidence: low
Full summary, score breakdown and related studies → Original source Free full text
This technique could be applied to questions in social gerontology related to how social media outlets reflect and shape attitudes bearing on other developmental outcomes. 1 key finding →
Evidence: low
Full summary, score breakdown and related studies → Original source Free full text
46/100
With the suggested adaptations, the CDN is expected to be a useful tool for supporting community-dwelling persons with mild dementia and their carers. 1 key finding →
Participants: 12 Evidence: low
Full summary, score breakdown and related studies → Original source Full text may need a subscription
The observed misalignment of opinion between end users and developers on desirable design features of companion robots demonstrates the need for user-centred design during development. 1 key finding →
Evidence: low
Full summary, score breakdown and related studies → Original source Free full text
Alzheimer's disease and related dementias (ADRD) are highly prevalent conditions, and prior efforts to develop predictive models have relied on demographic and clinical risk factors using traditional logistical regression methods. 5 key findings →
Evidence: moderate
Full summary, score breakdown and related studies → Original source Free full text
Cortical thickness from MRI helped predict conversion from mild cognitive impairment to dementia in Parkinson disease at an individual level, with improved performance when integrated with clinical variables. © RSNA, 2021 Online supplemental material is available for this article. 2 key findings →
Participants: 75 Evidence: low
Full summary, score breakdown and related studies → Original source Free full text
Despite the extended study duration, participants demonstrated high compliance with the schedule of daily learning tasks and were extremely positive about their experiences. 2 key findings →
Participants: 20 Evidence: low
Full summary, score breakdown and related studies → Original source Free full text
The experimental results demonstrate that the SVM with RBF achieved an encouraging performance with sensitivity (SEN), specificity (SPE), and accuracy (ACC) values of 82.65%, 87.17%, and 84.35%, respectively (AUC = 0.861, 95% CI = 0.820-0.902), for the differential diagnosis between VaD and AD. 2 key findings →
Participants: 93 Evidence: low
Full summary, score breakdown and related studies → Original source Free full text
A majority of mutations within the beta-amyloid region of the amyloid precursor protein (APP) gene cause inherited forms of intracerebral hemorrhage. 4 key findings →
Evidence: low
Full summary, score breakdown and related studies → Original source Free full text
The role of physical exercise in the prevention of Alzheimer's disease (AD) has been widely studied. 4 key findings →
Participants: 20 Evidence: low
Full summary, score breakdown and related studies → Original source Free full text
46/100
Four cognitive phenotypes emerged. One phenotype (18% of Aβ+ participants) showed the steepest cognitive decline, highest progression on the CDR, greater baseline medial temporal tau, and fastest neocortical tau accumulation over 4.6 years (hazard ratio [HR] for decline ≈ 2.9). 3 key findings →
Design: longitudinal study Evidence: moderate
Full summary, score breakdown and related studies → Original source Free full text
This paper introduces a novel convolutional neural network model with an attention mechanism to advance Alzheimer disease (AD) classification using Magnetic Resonance Imaging (MRI). 4 key findings →
Evidence: low
Full summary, score breakdown and related studies → Original source Free full text
46/100
Traditional diagnostic methods for Alzheimer's disease often suffer from low accuracy and lengthy processing times, delaying crucial interventions and patient care. 2 key findings →
Evidence: low
Full summary, score breakdown and related studies → Original source Free full text
Person-centered care provides a critical framework for dementia support in long-term care facilities, emphasizing attention to each resident's evolving needs, personal history, preferences, and values. 2 key findings →
Design: longitudinal study Evidence: moderate
Full summary, score breakdown and related studies → Original source Free full text
The findings of this study suggest that predictive modeling could inform patients and clinicians about ASCVD at risk for dementia. 3 key findings →
Participants: 29,561 Evidence: low
Full summary, score breakdown and related studies → Original source Free full text
Machine learning models consistently outperformed conventional approach. 5 key findings →
Participants: 38,746 Evidence: low
Full summary, score breakdown and related studies → Original source Free full text
Predictive performance was comparable across algorithms, with R² ranging from 0.201 to 0.361, highest in the MCI_All dataset. 5 key findings →
Design: longitudinal study Participants: 4,958 Evidence: moderate
Full summary, score breakdown and related studies → Original source Free full text
Metabolomics has been associated with cognitive decline and dementia, but the relationship between metabolites and brain aging remains unclear. 4 key findings →
Participants: 17,770 Evidence: low
Full summary, score breakdown and related studies → Original source Free full text
Among 1616 participants (AD = 1498, bvFTD = 118), all algorithms achieved high accuracy (80% to 90%) and discriminatory ability (AUC = 0.89 to 0.95). 5 key findings →
Participants: 1,616 Evidence: low
Full summary, score breakdown and related studies → Original source Free full text
From across this tag
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.
- Efficacy of language assessment in Alzheimer's disease: comparing in-person examination and telemedicine
- Performance on an Everyday Life Activity in Persons Diagnosed with Alcohol Dependency Compared to Healthy Controls: Relations between a Computerized Shopping Task and Cognitive and Clinical Variables†
- Smartphone Keystroke-based Cognitive Impairment Diagnostic Methodology
- Expression of APP pathway mRNAs and proteins in Alzheimer's disease
- Comparison of Deep Learning and Traditional Machine Learning Models for Predicting Mild Cognitive Impairment Using Plasma Proteomic Biomarkers
- Biomarker Investigation Using Multiple Brain Measures from MRI Through Explainable Artificial Intelligence in Alzheimer’s Disease Classification
- Deep learning based imaging data completion for improved brain disease diagnosis
- Integrative and interpretable framework to unveil the neurophysiological fingerprint of Alzheimer’s disease and mild cognitive impairment: A machine learning-SHAP approach
- Autonomous unobtrusive detection of mild cognitive impairment in older adults
- A Systematic Review of Smartphone and Tablet Use by Older Adults With and Without Cognitive Impairment
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 →