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Elucidating the pan-oncologic landscape of S100A9: prognostic and therapeutic corollaries from an integrative bioinformatics and Mendelian randomization analysis

Clinical landscape of S100A9 expressionGiven its remarkable sensitivity, S100A9 holds significant promise as a critical target and biomarker for cancer diagnosis. To evaluate S100A9...

Synthesis and quality assessment of combined time-series and static medical data using a real-world time-series generative adversarial network

The study protocol was in accordance with the ethical guidelines of the 1975 Declaration of Helsinki. This retrospective study was approved by the Institutional...

Mechanistic insights into condensate formation of human liver-type phosphofructokinase by stochastic modeling approaches

The formation of biomolecular condensates driven by LLPS in living systems often require adequate interactions between biomolecules, subcellularly concentrated biomolecules, and multivalent biomolecular interactions...

Assessing the causal relationship between metabolic biomarkers and coronary artery disease by Mendelian randomization studies

Roth, G. A. et al. Global burden of cardiovascular diseases and risk factors, 1990–2019: Update from the GBD 2019 study. J. Am. Coll. Cardiol....

Network model with internal complexity bridges artificial intelligence and neuroscience

Ouyang, L. et al. Training language models to follow instructions with human feedback. in Advances in Neural Information Processing Systems Vol. 35 27730–27744 (NeurIPS,...

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