Beyond health economics: economic growth, artificial intelligence, and environmental externalities in shaping life expectancy. [PDF]
Ageli MM.
europepmc +1 more source
Exosomes are emerging as powerful biomarkers for disease diagnosis and monitoring. This review highlights the integration of surface‐enhanced Raman spectroscopy with artificial intelligence to enhance molecular fingerprinting of exosomes. Machine learning and deep learning techniques improve spectral interpretation, enabling accurate classification of ...
Munevver Akdeniz +2 more
wiley +1 more source
One size does not fit all: income-sensitive thresholds for catastrophic health expenditure. [PDF]
Dubey JD, Kumar D, Reddy A B.
europepmc +1 more source
Deep Learning‐Assisted Design of Mechanical Metamaterials
This review examines the role of data‐driven deep learning methodologies in advancing mechanical metamaterial design, focusing on the specific methodologies, applications, challenges, and outlooks of this field. Mechanical metamaterials (MMs), characterized by their extraordinary mechanical behaviors derived from architected microstructures, have ...
Zisheng Zong +5 more
wiley +1 more source
Better Governance and Skilled Health Workforce Density: Are They Twin Catalysts for Health Outcomes in Sub-Saharan Africa? [PDF]
Kouadio M.
europepmc +1 more source
Large Language Model in Materials Science: Roles, Challenges, and Strategic Outlook
Large language models (LLMs) are reshaping materials science. Acting as Oracle, Surrogate, Quant, and Arbiter, they now extract knowledge, predict properties, gauge risk, and steer decisions within a traceable loop. Overcoming data heterogeneity, hallucinations, and poor interpretability demands domain‐adapted models, cross‐modal data standards, and ...
Jinglan Zhang +4 more
wiley +1 more source
Correction: Cross-national disparities in non-communicable disease: a universal health coverage-based service coverage index perspective, 2000-2021. [PDF]
Frontiers Production Office.
europepmc +1 more source
This study integrates random matrix theory (RMT) and principal component analysis (PCA) to improve the identification of correlated regions in HIV protein sequences for vaccine design. PCA validation enhances the reliability of RMT‐derived correlations, particularly in small‐sample, high‐dimensional datasets, enabling more accurate detection of ...
Mariyam Siddiqah +3 more
wiley +1 more source
Evaluating Honduras' health financing system: a comprehensive application of the WHO Health Financing Progress Matrix. [PDF]
Alfaro HE, Forsberg BC.
europepmc +1 more source
Out-of-pocket expenditures on over-the-counter medications: a cross-sectional study of consumer spending patterns. [PDF]
Alzuabi HF, Menon VB, Lucca JM.
europepmc +1 more source

