A scientific review synthesizes evidence showing that distinct circulating metabolites correlate with immune aging, inflammaging phenotypes, and clinical outcomes including ...
Researchers developed TENTACLES, an open-source consensus machine learning framework that extracted reproducible gene signatures across 689 intestinal biopsy samples from ...
A review in BMC Biology explores how combining patient-derived tumor organoids with microphysiological systems creates dynamic models to improve drug ...
A new computational framework called CurvEdgeNet uses Ollivier-Ricci curvature to predict circRNA-disease associations with high accuracy on three benchmark datasets.
A review in Cell Division evaluates AI and machine learning models for pancreatic cancer diagnosis, highlighting their high reliability in ...
Researchers have developed GallMine, a unified repository integrating multi-omics datasets and published literature to advance computational analysis and therapeutic discovery ...
A literature review finds that machine learning and bioinformatics have improved AML classification and risk stratification, but clinical implementation remains ...
A new Frontiers in Oncology editorial surveys thirteen studies using artificial intelligence and molecular data to advance cancer diagnosis, prognosis ...
A nested case-control study associated distinct serum protein trajectories with rapid SARS-CoV-2 IgG waning after breakthrough infection in older vaccinated ...
A reversed-phase LC/MS/MS workflow resolved diverse N-glycan isomers in pooled healthy-person urine and created a reference dataset to support future ...
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