Results 81 to 90 of about 24,112,168 (322)
A nationwide student survey on biochemistry learning resources in Italy
FEBS Open Bio, EarlyView.We conducted a survey among Italian university students to investigate their preferred study materials for biochemistry. We then analyzed the collected data to identify these materials. This information may be valuable to the Biochemistry educational community. The graphical abstract was created with Claude (Opus 5.5; Anthropic, 2026).
Anna Marabotti +4 more
wiley +1 more source
microRNA‐7‐5p and α‐Synuclein SAA Predict Parkinson's Disease Phenoconversion
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Corroborate blood neuron‐derived extracellular vesicle (NDEV) alpha‐synuclein (αSyn), the CSF αSyn seed amplification assay (αSyn‐SAA), and blood microRNA‐7‐5p (miR‐7‐5p) as markers for Parkinson's disease (PD) phenoconversion and determine if combining these markers would help select subjects who would be more likely to phenoconvert.
Shayan Zadegan +4 more
wiley +1 more source
Health Public Expenditure Review [PDF]
, 2015 This Public Expenditure Review (PER) for health in Zimbabwe is an analytical report developed by the World Bank Health, Nutrition and Population Task Team working with the World Bank’s Macroeconomics and Fiscal Management Global Practice team, Zimbabwe’s Ministry of Finance and Economic Development (MOFED) and Ministry of Health and Child Care (MOHCC),
openaire +3 more sources
Arthritis Care &Research, EarlyView.Objective The aim of this study was to test the hypothesis that multijoint osteoarthritis would modify the relation between time and frailty progression, in which more affected joints would lead to larger declines over six years compared to those without osteoarthritis using data from the Canadian Longitudinal Study on Aging.
Carson Halliwell +2 more
wiley +1 more source
Alternative Scenarios for Health, Life Expectancy and Social Expenditure: The Influence of Living Longer in Better Health on Health Care and Pension Expenditures and Government Finances in the EU. ENEPRI Research Reports No. 8, 1 June 2005 [PDF]
, 2005 This report investigates the effect of population ageing on public health- and long-term care expenditures, public pensions and government finances in EU countries in the projection period 2002-50. The authors specifically consider new insights about the
Pellikaan, Frank, Westerhout, Ed.
core
The Effect of Health Expenditure on Human Development Index (HDI) in Iran, 2001–2014
Majallah-i Dānishgāh-i ̒Ulūm-i Pizishkī-i Qum, 2019 Background and Objectives: The category of health is closely related to growth, comprehensive development, including economic development and human development. Health expenditure are important factors affecting economic growth.
Mohsen Pakdaman +4 more
doaj
National Health Expenditures In 2023: Faster Growth As Insurance Coverage And Utilization Increased.
Health AffairsHealth care spending in the US reached $4.9 trillion and increased 7.5 percent in 2023, growing from a rate of 4.6 percent in 2022. In 2023, the insured share of the population reached 92.5 percent, as enrollment in private health insurance increased at ...
Anne B. Martin +3 more
semanticscholar +1 more source
Generative AI in clinical practice: how should rheumatologists evaluate and monitor emerging tools?
Arthritis Care &Research, Accepted Article.Generative artificial intelligence (AI) is increasingly being used in rheumatology practice, to assist with tasks such as documentation, record summarization, and clinical decision support. Rheumatologists need a practical approach to determining what evidence and oversight each application requires.
Koushan Kouranloo +2 more
wiley +1 more source
SSM: Population Health, 2017 As much as 30% of US health care spending in the United States does not improve individual or population health. To a large extent this excess spending results from prices that are too high and from administrative waste.
L. Tran, F. Zimmerman, J. Fielding
semanticscholar +1 more source
dynoGP: Deep Gaussian Processes for Dynamic System Identification
International Journal of Adaptive Control and Signal Processing, EarlyView.This work introduces a novel class of deep models for system identification, dynamical deep Gaussian processes, which combine the strengths of data‐driven methods, such as those based on neural network architectures, with the ability to output a probability distribution for uncertainty representation.
Alessio Benavoli +3 more
wiley +1 more source