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https://www.selleckchem.com/products/vps34-inhibitor-1.html Two Gram-negative, aerobic, rod-shaped and yellow-orange pigmented bacterial strains (LMG 31523T and LMG 31524) were isolated from roots of wild-growing Alkanna tinctoria plants collected near Thessaloniki, Greece. Analysis of their 16S rRNA gene sequences revealed that they form a separate cluster related to the genus Roseomonas. A comparative whole genome analysis of the two strains and the type strains of related Roseomonas species revealed average nucleotide identity values from 78.84 and 80.32%. The G + C contents of the genomic DNA of strains LMG 31523T and LMG 31524 were 69.69% and 69.74%, respectively. Combined data from phenotypic, phylogenetic and chemotaxonomic studies indicated that the strains LMG 31523T and LMG 31524 represent a novel species of the genus Roseomonas. Genome analysis of the new strains showed a number of genes involved in survival in the rhizosphere environment and in plant colonization and confirmed the endophytic characteristics of LMG 31523T and LMG 31524. Since the strains LMG 31523T and LMG 31524 were isolated from a plant collected in Greece the name Roseomonas hellenica sp. nov. is proposed. The type strain is LMG 31523T (=CECT 30032T). To evaluate whether a magnetic resonance imaging (MRI) radiomics-based machine learning classifier can predict postoperative pancreatic fistula (POPF) after pancreaticoduodenectomy (PD) and to compare its performance to T1 signal intensity ratio (T1 SIratio). Sixty-two patients who underwent 3 T MRI before PD between 2008 and 2018 were retrospectively analyzed. POPF was graded and split into clinically relevant POPF (CR-POPF) vs. biochemical leak or no POPF. On T1- and T2-weighted images, 2 regions of interest were placed in the pancreatic corpus and cauda. 173 radiomics features were extracted using pyRadiomics. Additionally, the pancreas-to-muscle T1 SIratio was measured. The dataset was augmented and split into training (70 %) and test

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