BACKGROUND: The complexity and rapidly evolving nature of critical patient care in Intensive Care Units underscore the importance of the accuracy and timeliness of nursing decisions, further highlighting the significance of nursing education. This st... read more
BACKGROUND: Host dependency factors (HDF) are essential for viral replication and are promising targets for broad-spectrum antivirals. However, most work has focused on individual viruses or individual data types, limiting our understanding of shared... read more
BACKGROUND: Quality control can reduce variations in operators' performance conducting magnetically controlled capsule gastroscopy (MCCG). However, an optimal method for quality control in routine MCCG procedures is still lacking. This study aimed to... read more
Philosophy, ethics, and humanities in medicine : PEHM
May 2, 2026
BACKGROUND: Cadavers play an irreplaceable role in anatomy education, offering unique opportunities for hands-on learning and the internalization of ethical values. While large language models (LLMs) are increasingly utilized in medical education, th... read more
Proper air quality forecasting is essential in developing countries such as India, where climate variability, industrialization, and increasing urbanization play a major role in degrading air quality and posing health risks. This research introduces ... read more
Using data-driven machine learning (ML) models as surrogates in classical engineering is an emerging trend in the literature. However, effective surrogate modeling in path-dependent problems requires a deep understanding of the fundamental physical p... read more
With rising demand for remote work and education, smartphones and other portable photographic devices are increasingly used to capture physical documents, which are then shared as electronic files. However, shadows in such images hinder reading. Curr... read more
The detection of changes with a high degree of accuracy in multi-temporal satellite imagery is still a challenge due to sensor incapability, location problems and misalignment, radiometric noise, and non-linear temporal variations, which have recentl... read more
Integration of Artificial Intelligence (AI), particularly deep learning, into medical imaging represents a profound shift in diagnostic medicine, moving from purely descriptive analysis to advanced predictive and prescriptive analytics. This Collecti... read more
Video microscopy, when combined with machine learning, offers a promising approach for studying the early development of in vitro produced (IVP) embryos. However, manually annotating developmental events, and more specifically cell divisions, is time... read more
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