HLA-DRB1*15:01 and the Gene Interact to Selectively Influence the Profile of MERTK-Expressing Monocytes in Both Health and MS.

Background And Objectives: HLA-DRB1*15:01 (DR15) and are 2 risk genes for multiple sclerosis (MS). The variant rs7422195 is an expression quantitative trait locus for MERTK in CD14 monocytes; cells with phagocytic and immunomodulatory potential. We aimed to understand how drivers of disease risk and pathogenesis vary with HLA and MERTK genotype and disease activity.

Machine learning augmentation reduces prediction error in collective forecasting: development and validation across prediction markets with application to COVID events.

Background: The recent COVID-19 pandemic highlighted the challenges for traditional forecasting. Prediction markets are a promising way to generate collective forecasts and could potentially be enhanced if high-quality crowdsourced inputs were identified and preferentially weighted for likely accuracy in real-time with machine learning.

Methods: We aim to leverage human prediction markets with real-time machine weighting of likely higher accuracy trades to improve performance.

Household size, T regulatory cell development, and early allergic disease: a birth cohort study.

Background: Children born to larger households have less allergic disease. T regulatory cell (Treg) development may be a relevant mechanism, but this has not been studied longitudinally.

Objective: We aim to (i) describe how prenatal and postnatal environmental factors are associated with Treg development and (ii) investigate whether serial Treg measures predict allergic outcomes at 1 year of age.