Evaluating paired human breath and plasma samples revealed that methanol extraction with dry-down and BreathXplorer data processing maximize shared volatile ...
Researchers have introduced mosGraphFlow, an integrative graph neural network framework that combines multi-omic molecular layers and biological regulatory pathways to ...
Researchers developed CASCADE, a nine-layer multi-agent artificial intelligence framework that uses quantitative decision gates to catch statistical artifacts, invert false ...
Targeted proximity extension assays identified 71 enriched proteins in small extracellular vesicles from gastric cancer cell lines, nominating candidates such ...
Researchers have developed a rapid ten-minute dilute-and-shoot liquid chromatography-mass spectrometry method that accelerates large-scale urinary metabolomics profiling while identifying probabilistic ...
An exploratory pilot study using liquid chromatography-high-resolution mass spectrometry has identified distinct tissue metabolite and lipid profiles that differentiate grade ...
A network-guided cross-cohort framework combining machine learning and co-expression analysis prioritized compact plasma protein signatures across 23 human diseases, matching ...
Researchers used composite spectrograms and explainable machine learning to identify the sustained vowel sound as an acoustic marker for Parkinson's ...
Researchers integrated liver transcriptomics, Mendelian randomization, and machine learning to identify an exploratory six-gene signature that separated acute-on-chronic liver failure ...
A review indicates shared microRNA regulatory networks serve as molecular bridges connecting pancreatic ductal adenocarcinoma and type 2 diabetes mellitus ...
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