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Using genetic data to infer evolutionary distances between molecular sequence pairs based on a Markov substitution model is a common procedure in phylogenetics, in particular for selecting a good starting tree to improve upon. Many evolutionary patterns can be accurately modelled using substitution models that are available in closed form, including the popular general time reversible model (GTR) for DNA data. For more complex biological phenomena, such as variations in lineage-specific evolutionary rates over time (heterotachy), other approaches such as the GTR with rate variation (GTR ) are required, but do not admit analytical solutions and do not automatically allow for likelihood calculations crucial for Bayesian analysis.

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Background: Vessel segmentation in fundus photography has become a cornerstone technique for disease analysis. Within this field, Ultra-WideField (UWF) fundus images offer distinct advantages, including an expansive imaging range, detailed lesion data, and minimal adverse effects. However, the high resolution and low contrast inherent to UWF fundus images present significant challenges for accurate segmentation using deep learning methods, thereby complicating disease analysis in this context.

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Background And Objective: Antimicrobial resistance (AMR) is a global crisis, however, relatively little is known regarding its impact in chronic respiratory disease and the specific challenges faced by healthcare workers across the world in this field. We aimed to assess global healthcare worker views on the challenges they face regarding AMR in chronic respiratory disease.

Methods: An online survey was sent to healthcare workers globally working in chronic respiratory disease through a European Respiratory Society clinical research collaboration (AMR-Lung) focussed on AMR in chronic lung disease.

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Background And Aims: Metabolic dysfunction-associated steatotic liver disease (MASLD) is a common condition leading to chronic liver disease which generates substantial health care costs. Our aim was to model the impact on disease and economic burden of a hypothetical pharmacologic therapy which halts MASLD fibrosis progression.

Methods: The U.

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