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This article provides a bibliometric analysis of 545 linguistics research articles on dementia published between 1994 and 2023, highlighting key contributors, influential journals, and foundational references.
This article provides a comprehensive review of the use of graphene-based biosensing platforms for the early detection of Alzheimer's disease. It is found that graphene-based biosensors can detect Alzheimer's disease biomarkers at femtomolar concentrations, enabling early diagnosis before symptom onset. These sensors can also identify multiple biomarkers simultaneously in accessible biofluids like blood, saliva, and urine, enabling less invasive testing.
This study presents AlzFormer, a novel deep learning framework utilizing spatiotemporal self-attention to classify Alzheimer’s disease (AD), mild cognitive impairment (MCI), and cognitively normal (CN) individuals from structural MRI scans. By modeling MRI volumes as sequential slice-based inputs and fine-tuning a pre-trained TimeSformer model, AlzFormer achieved 94% accuracy and high class-wise F1-scores, while attention map analyses highlighted clinically relevant brain regions, demonstrating both robust performance and interpretability in multiclass AD diagnosis.
Report on a new smart delivery system designed to target and treat Alzheimer's disease more effectively, aiming to overcome the challenges of current treatments and offering a promising way to fight Alzheimer's more accurately and safely.
The article discusses the potential of neuron-derived extracellular vesicles (NDEVs) as diagnostic biomarkers for Alzheimer's disease (AD). NDEVs carry pathological proteins like amyloid-? and Tau, and their levels in bodily fluids can distinguish AD patients from healthy controls and predict disease onset.
Elsevier,
Journal of the Society for Cardiovascular Angiography and Interventions, Volume 4, September 2025
The 30-day Society of Thoracic Surgeons Predicted Risk of Mortality (STS-PROM) has been used to risk-stratify patients undergoing transcatheter aortic valve replacement (TAVR). Whether surgical mortality risk predicts stroke and neurocognitive outcomes following TAVR is unknown. We evaluated the association between STS-PROM and clinical outcomes, including stroke, acute brain injury on diffusion-weighted magnetic resonance imaging (DW-MRI), and cognitive decline in patients undergoing TAVR.
The TRAILBLAZER-ALZ 6 study found that a modified donanemab titration regimen significantly reduced ARIA-E frequency and severity compared to standard dosing, while maintaining similar amyloid reduction. Safety profiles were comparable between the two arms. The modified titration approach may help mitigate risks associated with amyloid-targeting therapies in early Alzheimer's disease.
This study introduces a new, safe, affordable, and non-invasive device designed to detect and monitor early signs of Alzheimer's disease. Unlike traditional tests like MRI or CT scans, this device uses microwaves to examine the brain.
Evidence from preclinical research suggests that dysfunction in thyroid hormones may increase ?-amyloid levels and tau phosphorylation, 2 hallmark features of Alzheimer's Disease(AD). This study showed a strong association between hypothyroidism and AD mortality.
