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10.1016/j.jphotobiol.2019.111518 25 ChenJ.LiS.LiC

Tam S, Spiess C, Auyeung W, Joachimiak L, Chen B, Poirier MA, et al

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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