Sparse Autoencoder Decomposition of Clinical Sequence Model Representations: Feature Complexity, Task Specialisation, and Mortality Prediction
C Sainsbury, F Dong, A Karwath
arXiv preprint arXiv:2605.04072
outputs
Selected outputs
Recent papers, preprints, scholarly outputs, and software. The publication list is seeded from my public Google Scholar profile and kept deliberately simple for now.
Last refreshed: 2026-05-26. Full profile: Google Scholar.
Papers and scholarly outputs
FlatASCEND: Autoregressive Clinical Sequence Generation with Continuous Time Prediction and Association-Based Pharmacological Testing
C Sainsbury, F Dong, K Andreas
arXiv
Implementation of a diabetes electronic health record with clinical decision support in primary care: A mixed methods study
J Dickson, S Cunningham, C Sainsbury, M Rutter, N Kanumilli, E Pearson, ...
Diabetic Medicine 43, 111-112
DIABETES2VEC: Learning routine care trajectories to identify incident diabetes risk
C Sainsbury, G Jones, A Karwath
Diabetes Technology & Therapeutics 28, 140S-141S
Causal and Active Learning-Based Counterfactual Chest X-ray Generation for Supporting Clinical Decision-Making in Lung Disease
Y Zhu, G Mohr, L Zhang, C Sainsbury, F Dong, JD Maclay, DJ Lowe, ...
Fifth Conference on Causal Learning and Reasoning
Study protocol for an open-label, single-arm, mixed methods feasibility study of the MWIQ AI-powered decision support tool for diabetes management in GP practices
J Dickson, SG Cunningham, C Sainsbury, MK Rutter, N Kanumilli, ...
BMJ Open 15 (10), e097644
Counterfactual medical images generation for lung disease diagnosis using probabilistic causal models and active learning
Y Zhu, L Zhang, C Sainsbury, F Dong, J MacLay, DJ Lowe, X Ye
IEEE Access
ASCENDgpt: A Phenotype-Aware Transformer Model for Cardiovascular Risk Prediction from Electronic Health Records
C Sainsbury, A Karwath
arXiv preprint arXiv:2509.04485
Impact on diabetes-related health outcomes using a digitally-enabled diabetes self-management platform in Somerset, UK: An interrupted time-series analysis
M Baxter, N Conway, A Bickerton, S Cunningham, SC MacKenzie, ...
Primary Care Diabetes 19 (4), 360-367
Emulating real-world GLP-1 efficacy in type 2 diabetes through causal learning and virtual patients
CR MacLellan, H Petkov, C McKeag, F Dong, DJ Lowe, R Maguire, ...
PLOS Digital Health 4 (7), e0000927
Narrative review: continuous glucose monitoring (CGM) in older adults with diabetes
A Wilson, D Morrison, C Sainsbury, G Jones
Diabetes Therapy 16 (6), 1139-1154
Factors associated with prescribing initial antidiabetic drugs among patients with type 2 diabetes mellitus in Scotland, 2010–2020: a retrospective population-based study
F Mohammad, T Mueller, A Mullen, C Sainsbury, GF Rushworth, A Kurdi
Journal of Pharmaceutical Policy and Practice 18 (S2), 135-136
Designing a Digital Diabetes Inpatient Management Tool for Clinical Non-specialists
J Dickson, CAR Sainsbury, S Cunningham, M Stevens, D Brodie, ...
IDF World Diabetes Congress 2025: Shape the future of diabetes
'Data age' prediction from routinely-collected data using machine learning, and association of the difference between predicted and actual age and outcome in type 2 diabetes
C Sainsbury, G Jones, A Doney, D Wake
Diabetes Technology & Therapeutics 27, E146-E146
Predicted age difference by deep learning in diabetes retinal screening photographs is an important predictor of complications in type 2 diabetes
H Wang, MRK Mookiah, Y Huang, I Mordi, C Sainsbury, ER Pearson, ...
Diabetic Medicine 42
Inequalities in use of continuous glucose monitoring: Age, gender, ethnicity and deprivation impact continuous glucose monitors (CGM) use
A Wilson, C Sainsbury, D Morrison, G Jones
Diabetic Medicine 42
The clinical potential of artificial intelligence (AI) applied to type 2 diabetes retinal screening (DRS) photographs to independently predict chronic kidney (CKD) disease risk …
H Wang, MRK Mookiah, C Sainsbury, E Trucco, A Doney
Diabetic Medicine 42
Impact on diabetes-related health outcomes using MyWay Diabetes platform in Somerset, UK: An interrupted time-series analysis
M Baxter, N Conway, A Bickerton, S Cunningham, S McKenzie, J Dickson, ...
Diabetes Professional Care 2024
Risk modelling for personalised screening interval recommendations for diabetic foot and retinopathy: a retrospective cohort study
WT Banas, CA Sainsbury, A Manataki, S Mercer, S Cunningham, ...
Diabetologia 67, S395-S396
Patterns of initial and first‐intensifying antidiabetic drug utilization among patients with type 2 diabetes mellitus in Scotland, 2010–2020: a retrospective population‐based …
F Mahmoud, T Mueller, A Mullen, C Sainsbury, GF Rushworth, A Kurdi
Diabetes, Obesity and Metabolism 26 (7), 2684-2694