Reinventing the evaluation wheel: COGwheel's co-designed digital innovation using the Qualtrics heat map.

The involvement of service-users, clinicians, and other health service end-users is recognised as an essential part of health and medical research. This collaborative approach can significantly contribute to methodological advancements including the development of research instruments and measures that ensure their suitability for research participants. The current paper details the co-design, development and implementation of the novel, digitised COGwheel (Co-designed Outcomes for Guests Evaluation Wheel).

A Radiograph Dataset for the Classification, Localization, and Segmentation of Primary Bone Tumors.

Primary malignant bone tumors are the third highest cause of cancer-related mortality among patients under the age of 20. X-ray scan is the primary tool for detecting bone tumors. However, due to the varying morphologies of bone tumors, it is challenging for radiologists to make a definitive diagnosis based on radiographs.

SCREEN: A Graph-based Contrastive Learning Tool to Infer Catalytic Residues and Assess Enzyme Mutations.

Unlabelled: The accurate identification of catalytic residues contributes to our understanding of enzyme functions in biological processes and pathways. The increasing number of protein sequences necessitates computational tools for the automated prediction of catalytic residues in enzymes. Here, we introduce SCREEN, a graph neural network for the high-throughput prediction of catalytic residues via the integration of enzyme functional and structural information.

Liver transplantation for critically ill patients with acute on chronic liver failure: a prospective national programme of waitlist prioritisation.

Background: Acute on Chronic Liver Failure (ACLF) complicates chronic liver disease (CLD) combining rapidly progressive hepatic with extra-hepatic multiple organ failure and high short-term mortality. Effective therapeutic options are very limited, and liver transplantation (LT) seldom utilised through concerns of high recipient mortality and resource use. Retrospective reports suggest recent outcomes may have improved, but use of LT for ACLF has not been prospectively assessed.