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Disclosures: YouRan Zhao: Nothing to Disclose, Catherine Vincent: Nothing to Disclose, Marc Bilodeau: Mirum Pharmaceuticals: Speaking and Teaching, Pascal Lapierre: Nothing to Disclose, Julian Hercun: Nothing to Disclose 2340 DEEP LEARNING ANALYSIS OF MAGNETIC RESONANCE IMAGING ACCURATELY DETECTS EARLY-STAGE CHOLANGIOCARCINOMA IN PATIENTS WITH PRIMARY SCLEROSING CHOLANGITIS Yashbir Singh 1 John Eaton 2 Sudhakar Venkatesh 2 Shahriar Faghani 1 Mette vesterhus 3 Tom Karlsen 4 Kristin Jorgensen 5 Trine Folseraas 4 Kosta Petrovic 6 Anne Negrd 5 Aliya Gulamhusein 7 Gregory Gores 1 Sumera Ilyas 2 Timucin Taner 2 Julie Heimbach 2 Nicholas LaRusso 1 Konstantinos Lazaridis 1 Bradley Erickson 1 , 1 Mayo Clinic - Rochester, 2 Mayo Clinic Rochester, 3 University of Bergen, 4 Oslo University, 5 Akershus University Hospital, 6 Haukeland University, 7 University of Toronto Background: Cholangiocarcinoma (CCA), particularly perihilar CCA (pCCA), is the leading source of mortality among patients with primary sclerosing cholangitis (PSC)

Telomeres, which cap the ends of chromosomes, progressively shorten upon each round of cell division

Projections of prevalence, lifetime risk, and life expectancy of Parkinsons disease (2010-2030) in France

Reaction mixture II for each sample was collected as follows: 1160 l of 0.1-M Tris-HCl buffer with 0.34-mM EDTA (pH 8.5) were sequentially added to 108 l of each supernatant containing residual GSH, and then at the same intervals, 9 l of a solution of 5,5-dithiobis(2-nitrobenzoic acid) or Ellmans reagent (4 mg/ml of absolute methanol) was added to each sample (in the same sequence of samples)