Breastfeeding medicine : the official journal of the Academy of Breastfeeding Medicine
May 21, 2026
BACKGROUND: Breastfeeding shows persistent disparities shaped by complex maternal, infant, and household factors, making prediction challenging. As traditional models struggle to capture such complexity, this study aims to identify predictors of ever... read more
Intensified fed-batch processes are becoming increasingly prevalent among biomanufacturers due to their superior space-time yields relative to traditional, non-intensified fed-batch processes. However, the shift towards intensified manufacturing has ... read more
OBJECTIVES: In the current study, a convolutional neural network (CNN) model for estimating the skeletal muscle index (SMI) from lower leg digital images was developed, and its predictive performance was evaluated. METHODS: One hundred healthy adults... read more
BACKGROUND: Artificial intelligence (AI) is increasingly applied in medicine, including clinical decision-making. AI-based decision support systems (DSS) can enhance early risk detection and treatment optimization. However, the perspectives of patien... read more
BACKGROUND: Generative artificial intelligence (AI) has entered graduate nursing education faster than programs can respond, raising questions about professional identity formation, epistemic accountability, and academic integrity. METHOD: This conce... read more
This paper examines the role of generative AI support in enhancing the quality of English-as-a-foreign-language (EFL) writing in Chinese higher education by enhancing the metacognitive control of the learners in real coursework. Based on self-regulat... read more
BACKGROUND: Existing guidelines for febrile infants aged 8 to 60 days use clinical appearance, age, and laboratory test results to assess the risk of invasive bacterial infections (IBIs) with variable performance. This study aimed to (1) develop and ... read more
European heart journal. Cardiovascular Imaging
May 21, 2026
Assessment of left ventricular diastolic function is inherently complex, yet it must be sufficiently simplified for consistent application in clinical practice. Interpretation is challenged by overlapping terminology, load dependence of hemodynamic v... read more
INTRODUCTION: The rapid advancement of artificial intelligence (AI) in health care necessitates that decision-makers consider end-user views on secondary data use and the application of AI in clinical settings. AIM: The aim of this study was to explo... read more
The design of microelectromechanical systems (MEMS) resonators has long been hindered by high computational costs and restricted structural degrees of freedom. This study introduces a structural design framework based on a residual network-enabled so... read more
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