35 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- University of ManchesterGB6 papers
- Manchester Academic Health Science CentreGB3 papers
- NIHR Manchester Biomedical Research CentreGB2 papers
- Birkbeck, University of LondonGB1 paper
- Cambridge Centre for AI in MedicineGB1 paper
- Department of HealthZA1 paper
- Imperial College LondonGB1 paper
- Institute of Structural and Molecular BiologyGB1 paper
- Korea Advanced Institute of Science and TechnologyKR1 paper
- Leiden University Medical CenterNL1 paper
- LifeArcGB1 paper
- Manchester University NHS Foundation TrustGB1 paper
6 papers
Will Large Language Models Transform Clinical Prediction?
Yusuf Yildiz, Goran Nenadic, Meghna Jani +1
Objective: Large language models (LLMs) are attracting increasing interest in healthcare. This commentary evaluates the potential of LLMs to improve clinical prediction models (CPM…
How to develop, externally validate, and update multinomial prediction models
Celina K Gehringer, Glen P Martin, Ben Van Calster +3
Multinomial prediction models (MPMs) have a range of potential applications across healthcare where the primary outcome of interest has multiple nominal or ordinal categories. Howe…
BayesGmed: An R-package for Bayesian Causal Mediation Analysis
Belay B Yimer, Mark Lunt, Marcus Beasley +2
The past decade has seen an explosion of research in causal mediation analysis. However, most analytic tools developed so far rely on frequentist methods which may not be robust in…
Modelling and classifying joint trajectories of self-reported mood and pain in a large cohort study
Rajenki Das, Mark Muldoon, Mark Lunt +3
It is well-known that mood and pain interact with each other, however individual-level variability in this relationship has been less well quantified than overall associations betw…
Bridging disconnected networks of first and second lines of biologic therapies in rheumatoid arthritis with registry data: Bayesian evidence synthesis with target trial emulation
Sylwia Bujkiewicz, Janharpreet Singh, Lorna Wheaton +4
Objective: We aim to utilise real world data in evidence synthesis to optimise an evidence base for the effectiveness of biologic therapies in rheumatoid arthritis in order to allo…
An in silico drug repurposing pipeline to identify drugs with the potential to inhibit SARS-CoV-2 replication
Méabh MacMahon, Woochang Hwang, Soorin Yim +7
Drug repurposing provides an opportunity to redeploy drugs, which ideally are already approved for use in humans, for the treatment of other diseases. For example, the repurposing…