Publications by authors named "S M Farrington"
High-energy nuclear collisions create a quark-gluon plasma, whose initial condition and subsequent expansion vary from event to event, impacting the distribution of the eventwise average transverse momentum [P([p_{T}])]. Disentangling the contributions from fluctuations in the nuclear overlap size (geometrical component) and other sources at a fixed size (intrinsic component) remains a challenge. This problem is addressed by measuring the mean, variance, and skewness of P([p_{T}]) in ^{208}Pb+^{208}Pb and ^{129}Xe+^{129}Xe collisions at sqrt[s_{NN}]=5.
View Article and Find Full Text PDFBone marrow adipose tissue is a distinct adipose subtype comprising more than 10% of fat mass in healthy humans. However, the functions and pathophysiological correlates of this tissue are unclear, and its genetic determinants remain unknown. Here, we use deep learning to measure bone marrow adiposity in the femoral head, total hip, femoral diaphysis, and spine from MRI scans of approximately 47,000 UK Biobank participants, including over 41,000 white and over 6300 non-white participants.
View Article and Find Full Text PDFArticle Synopsis
- Common genetic variation at the 11q23.1 locus is linked to colorectal cancer risk, complicating the understanding of its mechanisms due to complex gene interactions and expression patterns.
- The study utilizes various sequencing methods and mouse models to identify key genes, especially highlighting rs3087967 as a crucial variant that influences the expression of 21 genes associated with tuft cell markers.
- The findings suggest that the risk genotype at rs3087967 leads to a deficiency in tuft cells, which are important for tumor suppression, positioning these cells as protective elements in colorectal cancer development.
Objective: To optimise the organisation of care and encourage the adoption of good clinical practices, the RarERN Path methodology was designed within ERN ReCONNET. The aim of our work was to report the application of RarERN Path on systemic sclerosis within the ERN ReCONNET centres, providing a feasible and flexible organisational reference model for optimising the systemic sclerosis care pathway in different countries.
Methods: RarERN Path is a six-phase methodology which enables the creation of a reference organisational model co-designed on the basis of the expertise of different stakeholders.