NOVEL IMMUNE SCORING DYNAMIC NOMOGRAMS BASED ON B7-H3, B7-H4, AND HHLA2: POTENTIAL PREDICTION IN SURVIVAL AND IMMUNOTHERAPEUTIC EFFICACY FOR GALLBLADDER CANCER

Novel immune scoring dynamic nomograms based on B7-H3, B7-H4, and HHLA2: Potential prediction in survival and immunotherapeutic efficacy for gallbladder cancer

BackgroundGallbladder cancer (GBC) is a mortal malignancy with moen finney limited therapeutic strategies.We aimed to develop novel immune scoring systems focusing on B7-H3, B7-H4, and HHLA2.We further investigated their potential clinical effects in predicting survival and immunotherapeutic efficacy for GBC.MethodsThis was a retrospective cohort s

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A computationally efficient algorithm to leverage average information REML for (co)variance component estimation in the genomic era

Abstract Background Methods for estimating variance components (VC) using restricted maximum likelihood (REML) typically require elements from the inverse of the coefficient matrix of the mixed model equations (MME).As genomic information becomes more prevalent, the coefficient matrix of the MME becomes denser, presenting a challenge for analyzing

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Technology-Enabled Learning and the Benefits and Challenges of Using the Community of Inquiry Theoretical Framework

The Introduction to Technology-Enabled Learning (TEL)MOOC was intended to engage teachers worldwide who work in any level of education and are interested in technology-enabled learning and yellow shirt relics Open Educational Resources.This paper investigates the response by participants from post-secondary educational institutions to the content p

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