World Alzheimer's Day, observed every year on September 21st, is an international campaign to raise awareness and challenge the stigma surrounding Alzheimer's disease and other forms of dementia. With over 50 million people worldwide living with dementia and millions more being diagnosed every year, it is crucial to improve public understanding and provide support for those affected. In this article, we will discuss the significance of World Alzheimer's Day and share ways you can get involved to make a difference.

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This study identifies two CSF proteomic panels that accurately stage Alzheimer’s pathology, outperform current biomarkers, and predict dementia progression over 10 years, enhancing diagnosis and clinical trial stratification.

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.

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.

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.

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.

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.

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.