A new study published in Social Psychological and Personality Science has found that rising income inequality is associated ...
Understanding how scale, proportion, and repetition shape accurate review interpretation Why Review Volume Changes ...
Background Multiple long-term conditions (MLTCs) are common among individuals with heart failure (HF); however, the influence ...
Based Detection, Linguistic Biomarkers, Machine Learning, Explainable AI, Cognitive Decline Monitoring Share and Cite: de Filippis, R. and Al Foysal, A. (2025) Early Alzheimer’s Disease Detection from ...
Disease combinations are often unique – anonymization of health data is therefore particularly complex. An interview on ...
This study provides important evidence that negative affect is associated with slower cognitive processing in daily life, with findings replicated across three independent samples and supported by ...
Williams, A. and Louis, L. (2026) Cumulative Link Modeling of Ordinal Outcomes in the National Health Interview Survey Data: Application to Depressive Symptom Severity. Journal of Data Analysis and ...
Introduction Compared with other high-income countries, the USA continues to have the highest rates of pregnancy-related and associated mortality and morbidity (PRAMM), particularly in rural areas and ...
Researchers from Nazarbayev University's National Laboratory created the first large-scale, high-quality genotyping dataset of healthy Kazakh individuals—a landmark contribution to global population ...
Who controls synthetic publics? Who benefits from their use? And what kind of democratic future is being built in our name?
The surface story of the United States economy heading into 2026 looks almost comforting: inflation has cooled from its peak, unemployment is no longer climbing, and stock indexes remain near record ...
Abstract: Since data scarcity and data heterogeneity are prevailing for medical images, well-trained Convolutional Neural Networks (CNNs) using previous normalization methods may perform poorly when ...
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