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As a journalist, you can create a free Muck Rack account to customize your profile, list your contact preferences, and upload a portfolio of your best work.Articles
Deep chemical structure graph learning deciphers the lipotoxicity code of hypertriglyceridemic pancreatitis
Abstract The discrepancy between serum triglyceride levels and the clinical severity of hyperlipidemic acute pancreatitis (HLAP) complicates risk stratification. Traditional lipidomics, which primarily rely on linear abundance, often fail to distinguish the HLAP-specific lipidome from the metabolic background of hypertriglyceridemia (HTG).
Development and Validation of Radiomics and Clinical Models for Predicting Gleason Grades in Prostate Cancer Across Tumor Subregions and Clinical Factors: A Dual-Center Study
Abbreviations PCa (Prostate cancer) PSA (Prostate-specific antigen) PSAD (Prostate-specific antigen density) PI-RADS (Prostate Imaging Reporting and Data System) PV (Prostate volume) RP (Radical prostatectomy) GS (Gleason score) H-GGG (High-Gleason grade group) L-GGG (Low-Gleason grade group) ITV (Intratumoral volume) PTV (Peritumoral volume) PTT (Peritumoral transition) CTV (Central tumor volume) CM (Clinical model) VOIs (Volumes of interest) ROC (Receiver operating characteristic) AUC (Area...
Plasma metabolomics dataset of race-walking athletes illuminating systemic metabolic reaction of exercise - Scientific Data
Abstract This study investigates the metabolic changes induced by endurance exercise, specifically race walking, in a cohort of 19 athletes. Blood samples were collected at four time points: pre-exercise (REST), immediately post-exercise (STAT), 3 hours into recovery (REC3), and 22 hours post-exercise (REC22). A total of 859 metabolites were identified through the untargeted method, and 465 metabolites and 411 lipids were identified through the targeted methods.
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