Dendrobine exhibits notable anti-tumor activity against breast cancer (BRCA). In this study, we integrated network pharmacology, bioinformatics, and experimental validation to elucidate its mechanisms. SwissTargetPrediction and differential gene anal... read more
INTRODUCTION: Digital technologies and artificial intelligence are rapidly transforming emergency nursing, raising concerns about how nurses can sustain holistic, person-centered care in highly technologized environments. Organizational conditions su... read more
Accurate measurement of dry matter intake (DMI) in sheep is logistically challenging and costly, particularly under commercial conditions and across diverse production systems. This study evaluated whether methane (CH4), carbon dioxide (CO2) and oxyg... read more
Floating marine litter (FML) has emerged as a central priority in global ocean governance. Thoroughly deciphering the spatiotemporal evolutionary mechanisms of its "source-sink" system is fundamental to formulating scientifically robust management st... read more
Diabetes research and clinical practice
May 16, 2026
AIMS: To develop a machine learning framework for predicting type 2 diabetes mellitus (T2DM) using administrative data and electronic health records (EHR) that could be applied in healthcare settings. METHODS: Study population included parents of ind... read more
Neurodegenerative diseases frequently co-occur with skeletal muscle atrophy, creating a complex comorbid condition that significantly accelerates functional decline and increases mortality. This dual pathology is driven by interconnected mechanisms s... read more
European journal of pharmaceutical sciences : official journal of the European Federation for Pharmaceutical Sciences
May 16, 2026
PURPOSE: This study aimed to reveal the mechanism and prognostic significance of migrasome-related genes (MGs) in primary liver cancer (PLC) treated with Sorafenib (Sor) treatment. METHODS: Datasets were extracted from an online database, and differe... read more
International journal of radiation oncology, biology, physics
May 16, 2026
PURPOSES: To develop a deep learning model for automated metabolic tumor volume (MTV) delineation on routine computed tomography (CT) without positron emission tomography (PET) and validate its prognostic value in nasopharyngeal carcinoma (NPC). METH... read more
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