Direct mass spectrometry (MS) analysis of human tissues at the molecular level has great potential for clinical diagnosis and biomarker discovery. However, conventional MS-based analytical methods often require complicated and time-consuming sample p... read more
Butylphthalide (NBP) is a lipophilic small-molecule drug characterized by its multi-target and multi-pathway regulatory properties. Initially employed in the treatment of ischemic stroke, recent studies have highlighted its significant protective eff... read more
The lithium-ion battery (LIB) industry, a cornerstone of energy storage technology, is critical in the global transition towards low-carbon energy systems. However, its carbon emission performance remains poorly understood. This study developed a hyb... read more
Although the effects of the regional economy and physical environment on self-rated health among older adults in China have been widely recognized, their confounding relationships and non-linear impacts remain insufficiently understood. This study dr... read more
Cochrane evidence synthesis and methods
Apr 11, 2026
BACKGROUND: Manual abstract screening is a primary bottleneck in evidence synthesis. Emerging evidence suggests that large language models (LLMs) can automate this task, but their performance when processing multiple references simultaneously in "bat... read more
Cognitive dysfunction is a common extrapulmonary manifestation of chronic obstructive pulmonary disease (COPD). Here, we applied an XGBoost-SHAP machine learning framework to identify cortical morphological features related to cognitive performance i... read more
Predicting drug indications is a fundamental task in biomedical research and drug repurposing. In addition to known therapeutic associations, clinically relevant but opposite signals, such as contraindications, may provide complementary evidence for ... read more
BACKGROUND: Understanding speech in noise is a primary challenge for individuals with sensorineural hearing loss (SNHL). While deep neural network (DNN)-based noise reduction in hearing aids shows behavioral promise, objective neurophysiological evid... read more
Dry Eye Disease (DED) is increasingly recognized as a complicated, multi-factorial disease involving oxidative damage, metabolic dysregulation and immune dysregulation on the ocular surface. New data emerging from proteomics, lipidomics, metabolomics... read more
Machine learning models are increasingly used in clinical research to predict patient outcomes, yet many clinicians lack the training to critically appraise these studies. This article provides a conceptual introduction to machine learning for the pe... read more
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