In this response, we address key points by commentators on our previous article, "Unsupervised Machine Learning for Differential Analysis in Proteomics" (DOI: 10.1021/acs.analchem.5c03117), concerning the choice and characteristics of statistical tes... read more
BackgroundSport Nutrition is a fast-growing academic subject. Language and/or insufficient training will be barriers to evidence-based practice (EBP) for non-English native practitioners.AimWe investigated the EBP implementation in Japanese Accredite... read more
BACKGROUND: Chest X-ray (CXR) can assess pulmonary tuberculosis (TB) severity and may guide duration of treatment. However, the optimal radiological metric and its integration with clinical variables for predicting treatment outcomes remains unclear.... read more
PURPOSE: Artificial intelligence (AI) chatbots based on large language models (LLMs) can deliver medical information, but their performance on specialized topics such as central auditory processing disorder (CAPD) remains unexplored. This study evalu... read more
Hepatocellular carcinoma (HCC) is the most common primary liver malignancy, accounting for nearly 90% of primary liver cancers worldwide. It is a biologically heterogeneous malignancy with variable aggressiveness and treatment response. Imaging is ce... read more
Screening of heart failure (HF) remains suboptimal. However, vocal biomarkers are an emerging tool to screen for HF and predict adverse outcomes. This article is a literature review of the current evidence, exploring the use of vocal biomarkers to sc... read more
Small RNAs (sRNAs) have emerged as central regulators of gene expression, coordinating development, stress responses, and immunity across plant tissues. Far from acting solely within individual cells, sRNAs move through plasmodesmata and the phloem t... read more
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