BACKGROUND: Osteoporosis and sarcopenia are age-related degenerative diseases that frequently co-occur in the older adults, yet their shared molecular mechanisms remain poorly understood. This study aimed to identify common biomarkers. METHODS: By ut... read more
The increasing demand for sustainable food packaging solutions has spurred significant interest in edible films. Marine polysaccharides, as a main source of bioplastics, present a promising alternative to traditional plastic packaging due to their bi... read more
There is an increasing need for fuel flexibility in the conversion of biomass through thermochemical processes such as pyrolysis. Achieving fuel flexibility only through an experimental approach is both expensive and time consuming. Therefore, a numb... read more
Artificial intelligence (AI) is becoming increasingly prevalent in medical practice and has demonstrated sufficient clinical acumen to pass several licensing examinations. We tested the ability of 3 popular large-language models, ChatGPT-4.0 (OpenAI)... read more
The aggregation of nanoparticles (NPs) in aquatic environments is influenced by multiple environmental conditions, with dissolved organic matter (DOM) exerting complex regulatory effects on NPs aggregation. However, traditional models often struggle ... read more
BACKGROUND: Lung adenocarcinoma (LUAD) remains a major clinical challenge in assessment of clinical outcomes and therapeutic response. Although tumor-associated macrophages (TAMs) are known as crucial regulators of tumor progression, their heterogene... read more
Biomedizinische Technik. Biomedical engineering
Jan 12, 2026
OBJECTIVES: Early and accurate detection of breast cancer is critical for improving patient survival outcomes. This study proposes a robust deep learning-based framework for breast cancer detection using digital breast tomosynthesis (DBT) images, lev... read more
Otolaryngology--head and neck surgery : official journal of American Academy of Otolaryngology-Head and Neck Surgery
Jan 12, 2026
OBJECTIVE: The aim of the systematic review is to evaluate the application of machine learning (ML) and artificial intelligence (AI) models in the analysis of snoring sounds for the detection of obstructive sleep apnea (OSA) and the classification of... read more
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