NIHR Better Methods Better Research
Outcomes Tracker
Funding to use large language models and agentic methods to track medical outcomes in clinical-trial literature, identify outcome-reporting bias, and support core outcome set uptake.
Research outputs
Papers & Grants
2026
Bayesian deep learning for uncertainty aware medical image segmentation correction and feature engineering: Applications to OCT imaging
Informatics in Medicine Unlocked
DOI: 10.1016/j.imu.2026.101763 ↗2025
Domain-specific AI segmentation of IMPDH2 rod/ring structures in mouse embryonic stem cells
BMC Biology
DOI: 10.1186/s12915-025-02226-7 ↗2025
Peroxiredoxin 2 mediates redox-stimulated adaptations to oxidative phosphorylation induced by contractile activity in human skeletal muscle myotubes
Free Radical Biology and Medicine
DOI: 10.1016/j.freeradbiomed.2024.11.053 ↗2022
DeepGANnel: Synthesis of fully annotated single molecule patch-clamp data using generative adversarial networks
PLOS ONE
DOI: 10.1371/journal.pone.0267452 ↗Funding
Grants
AI SuperConnector
OCT-Assist
Support to develop interpretable AI methods for optical coherence tomography imaging, with a focus on clinically useful and explainable models.