Articles

Elsevier,

Neuroscience, Volume 585, 15 October 2025

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.
Elsevier,

Journal of Environmental Chemical Engineering, Volume 13, October 2025

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.
Elsevier,

The Lancet Regional Health - Southeast Asia, Volume 41, October 2025

This viewpoint offers insights on policy to improve diet quality, that resonate not only in Bangladesh but also across other countries navigating similar transitions.
Elsevier,

Matter, Volume 8, 1 October 2025

With an estimated 2 billion people worldwide suffering from iron deficiency — a condition linked to anemia, impaired childhood brain development, and higher infant mortality — researchers are racing to find more effective nutritional interventions. MIT scientists have developed a promising solution: tiny crystalline particles known as metal-organic frameworks (MOFs) that can be used to fortify everyday foods and beverages, mixed into foods such as bread or sprinkled directly into drinks like coffee or tea.
Elsevier,

Land Use Policy, Volume 157, October 2025

As one of the most food-insecure countries of the Global South, Ethiopia has experienced significant land-use changes driven by economic development and population growth. This study examined the dynamic land use transitions in Ethiopia during the period 2000–2020 including the socio-economic factors driving land-use transitions and grain demand. Although the sustained growth in international trade coupled with increased productivity has benefited the country's food supply, the food security situation in low-income countries, including Ethiopia, will remain critical in the context of population growth.
Elsevier,

Food PolicyVolume 136, October 2025, 102968

This article is a review of the global commitments to ending hunger and achieving SDG2 by 2030, analisesthe rhetoric, actionable plans, financing, and accountability mechanisms. Strengthening global governance and institutionalizing monitoring of commitments are essential to translate these declarations into effective national policies.

Elsevier,

Water Research X, Volume 28, 1 September 2025

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.
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.
Elsevier,

Brain Network Disorders, Volume 1, Issue 3, September 2025, Pages 150-166

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,

Results in Engineering, Volume 27, September 2025

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.

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