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Nutrition 5556 , 116124 (2018)

Disclosures: Dylan Windell: Perspectum: Employee, asd: Employee, Alastair Magness: Nothing to Disclose, Abhishek Roy: Nothing to Disclose, Paul Aljabar: Nothing to Disclose, Timothy Kendall: Nothing to Disclose, Eve Fryer: Nothing to Disclose, Kenneth Fleming: Nothing to Disclose, Rob Goldin: Nothing to Disclose, Caitlin Langford: Nothing to Disclose 776 THE USE OF AI-ASSISTED DIGITAL PATHOLOGY IN DETERMINING THE INFLAMMATORY BURDEN IN LIVER DISEASE Dylan Windell 1 Cayden Beyer 1 Sarah Larkin 1 Elizabeth Shumbayawonda 1 Paul Aljabar 1 Caitlin Langford 1 Andrea Dennis 1 Rob Goldin 2 , 1 Perspectum, 2 Imperial College London Background: Liver pathology assessment remains the reference standard for assessing disease activity despite well reported limitations, notably the high variability between readers especially in the assessment of inflammation

If the rash clearly tracks with poor injection technique, improving technique and recording changes often resolves the issue without stopping therapy

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Circ_0067680 expedites the osteogenic differentiation of human bone marrow-derived mesenchymal stem cells through miR-4429/CTNNB1/Wnt/beta-catenin pathway