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 scoping review aims to identify trends in studies related to children's online safety education facilitated by digital technologies. The review is guided by the five-stage framework developed by Arksey and O'Malley.
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.
Effective decision support systems are more essential as smart cities continue to develop. Decision-makers can use the suggested framework as a flexible platform for integrating, analyzing and visualizing complex data streams to help with resource management, policy formation, and urban planning.
This study explores the integration of Generative Artificial Intelligence (GenAI) in water distribution networks, identifying opportunities for enhancing information retrieval, improving water quality management, implementing predictive maintenance, and optimizing operations, while also addressing challenges related to data quality, scalability, and the need for expertise in both engineering and AI, ultimately providing insights for water utilities and policymakers on leveraging GenAI responsibly.
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.
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.
