PHILADELPHIA - A new study from the University of Pennsylvania suggests that artificial intelligence may help identify ...
Introduction Anaemia is highly prevalent among the indigenous population globally. Several interventions have been used to prevent and manage nutritional anaemia, including dietary measures, health ...
5 Africa Academy for Public Health, Dar Es Salaam, United Republic of Tanzania Objective To determine individual and community-level predictors associated with timely initiation of breastfeeding among ...
This paper provides solid electrophysiological evidence that an individual's effort expenditure increases the subjective value of a subsequent reward when the beneficiary is the individual themselves, ...
Apple researchers have created an AI model that reconstructs a 3D object from a single image, while keeping reflections, highlights, and other effects consistent across different viewing angles. Here ...
Stroke is a sexually dimorphic disease, with different risk factors, incidence, outcomes, and treatment responses in men and women. While sex differences have been documented in preclinical studies, ...
Abstract: When electronic systems within enclosures are exposed to high-power electromagnetic fields, functional disruption or damage may occur, highlighting the need for predictive models that assess ...
Objective Long-term azithromycin treatment effectively prevents acute exacerbations of chronic obstructive pulmonary disease (COPD). However, patients would benefit from better identification of ...
Background Women with pre-eclampsia are at increased risk of later-life cardiovascular disease (CVD). Despite suggestions ...
(*) The first two authors contributed equally. Abstract: Model Inversion (MI) attacks pose a significant privacy threat by reconstructing private training data from machine learning models. While ...
A comprehensive systematic search was carried out in on Scopus, PubMed, Embase, Web of Science, and Google Scholar up to December 2024. The overall effect size was calculated using random effect model ...
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