Showing 50 publications by David Clifton
Graph-Based Machine Learning Identifies Oxygenated Block Polymer Replacements for Conventional Plastics and Elastics.
Molaei S, Poon KC, Gao C, Eisenhardt KHS, Concilio M et al. (2026), Journal of the American Chemical Society
BibTeX
@article{graphbasedmachi-2026/3,
title={Graph-Based Machine Learning Identifies Oxygenated Block Polymer Replacements for Conventional Plastics and Elastics.},
author={Molaei S, Poon KC, Gao C, Eisenhardt KHS, Concilio M et al.},
journal={Journal of the American Chemical Society},
year = "2026"
}
Democratising Clinical AI through Dataset Condensation for Classical Clinical Models
Thakur A, Molaei S, Nganjimi PC, Fieggen J, Soltan AAS et al. (2026)
BibTeX
@misc{democratisingcl-2026/3,
title={Democratising Clinical AI through Dataset Condensation for Classical Clinical Models},
author={Thakur A, Molaei S, Nganjimi PC, Fieggen J, Soltan AAS et al.},
year = "2026"
}
Digital morphine: why AI scribes are symptomatic relief for a broken system
Segal B, Allen L, Fieggen J, Clifton D & Clifton L (2026), BMJ Digital Health & AI, 2(1), e000030-e000030
When to and when not to use machine learning in risk prediction models
Clifton L, Powell J, Clifton DA & Sheikh A (2026), The Lancet Digital Health, 100954
Dataset supporting Graph-based machine learning identifies oxygenated block polymer replacements for conventional plastics and elastics
Molaei S, Poon K, Gao C, Eisenhardt K, Concilio M et al. (2026)
Geometric Uncertainty for Detecting and Correcting Hallucinations in LLMs
Phillips E, Wu S, Molaei S, Belgrave D, Thakur A et al. (2025)
Graph AI generates neurological hypotheses validated in molecular, organoid, and clinical systems
Noori A, Polonuer J, Meyer K, Budnik B, Morton S et al. (2025)
BibTeX
@misc{graphaigenerate-2025/12,
title={Graph AI generates neurological hypotheses validated in molecular, organoid, and clinical systems},
author={Noori A, Polonuer J, Meyer K, Budnik B, Morton S et al.},
year = "2025"
}
Clinical-R1: Empowering Large Language Models for Faithful and Comprehensive Reasoning with Clinical Objective Relative Policy Optimization
Gu B, Zhou H, Segal BM, Wu J, Cao Z et al. (2025)
Daily steps are a predictor of, but perhaps not a risk factor for Parkinson’s disease: findings from the UK Biobank
Acquah A, Creagh A, Hamy V, Shreves A, Zisou C et al. (2025), npj Parkinson's Disease
BibTeX
@article{dailystepsareap-2025/11,
title={Daily steps are a predictor of, but perhaps not a risk factor for Parkinson’s disease: findings from the UK Biobank},
author={Acquah A, Creagh A, Hamy V, Shreves A, Zisou C et al.},
journal={npj Parkinson's Disease},
publisher={Nature Research},
year = "2025"
}
DECOVID: A UK Two-Center Harmonized Database of Acute Care Electronic Health Records for COVID-19 Research
Aslett LJM, Avramescu A, Bakewell N, Birds I, Bowler L et al. (2025), Data, 10(12), 195-195
BibTeX
@article{decovidauktwoce-2025/11,
title={DECOVID: A UK Two-Center Harmonized Database of Acute Care Electronic Health Records for COVID-19 Research},
author={Aslett LJM, Avramescu A, Bakewell N, Birds I, Bowler L et al.},
journal={Data},
volume={10},
pages={195-195},
publisher={MDPI AG},
year = "2025"
}
Abstract 4362776: Multimodal and Serial Electrocardiogram and Chest X-ray Age Have Prognostic Significance as Biomarkers for Cardiovascular Health
Sangha V, Gu X, Khera R & Clifton D (2025), Circulation, 152(Suppl_3), a4362776-a4362776
A multimodal automated deep learning-based model for predicting biochemical recurrence of prostate cancer following prostatectomy from baseline MRI, Presurgical clinical covariates
Simon BD, Harmon SA, Merriman KM, Tetreault J, Esengur OT et al. (2025), Clinical Imaging, 126, 110579
BibTeX
@article{amultimodalauto-2025/10,
title={A multimodal automated deep learning-based model for predicting biochemical recurrence of prostate cancer following prostatectomy from baseline MRI, Presurgical clinical covariates},
author={Simon BD, Harmon SA, Merriman KM, Tetreault J, Esengur OT et al.},
journal={Clinical Imaging},
volume={126},
pages={110579},
publisher={Elsevier},
year = "2025"
}
Correction: Toward a Multivariate Prediction Model of Pharmacological Treatment for Women With Gestational Diabetes Mellitus: Algorithm Development and Validation.
Velardo C, Clifton D, Hamblin S, Khan R, Tarassenko L et al. (2025), J Med Internet Res, 27, e85415
BibTeX
@article{correctiontowar-2025/10,
title={Correction: Toward a Multivariate Prediction Model of Pharmacological Treatment for Women With Gestational Diabetes Mellitus: Algorithm Development and Validation.},
author={Velardo C, Clifton D, Hamblin S, Khan R, Tarassenko L et al.},
journal={J Med Internet Res},
volume={27},
pages={e85415},
year = "2025"
}
Correction: Toward a Multivariate Prediction Model of Pharmacological Treatment for Women With Gestational Diabetes Mellitus: Algorithm Development and Validation (Preprint)
Velardo C, Clifton D, Hamblin S, Khan R, Tarassenko L et al. (2025)
BibTeX
@misc{correctiontowar-2025/10,
title={Correction: Toward a Multivariate Prediction Model of Pharmacological Treatment for Women With Gestational Diabetes Mellitus: Algorithm Development and Validation (Preprint)},
author={Velardo C, Clifton D, Hamblin S, Khan R, Tarassenko L et al.},
year = "2025"
}
Benchmarking transformer-based models for medical record deidentification in a single centre multi-specialty evaluation
Kuo R, Soltan AAS, O’Hanlon C, Hasanic A, Clifton DA et al. (2025), iScience, 113732
BibTeX
@article{benchmarkingtra-2025/10,
title={Benchmarking transformer-based models for medical record deidentification in a single centre multi-specialty evaluation},
author={Kuo R, Soltan AAS, O’Hanlon C, Hasanic A, Clifton DA et al.},
journal={iScience},
pages={113732},
publisher={Elsevier},
year = "2025"
}
Multivariable Prediction Models for Atrial Fibrillation after Cardiac Surgery: A Systematic Review and Critical Appraisal.
Fields KG, Milner GDM, Ma J, Dhiman P, Redfern OC et al. (2025), Anesthesiology
BibTeX
@article{multivariablepr-2025/10,
title={Multivariable Prediction Models for Atrial Fibrillation after Cardiac Surgery: A Systematic Review and Critical Appraisal.},
author={Fields KG, Milner GDM, Ma J, Dhiman P, Redfern OC et al.},
journal={Anesthesiology},
publisher={Wolters Kluwer},
year = "2025"
}
Improving Clinical Dataset Condensation with Mode Connectivity-based Trajectory Surrogates
Nganjimi PC, Soltan A, Belgrave D, Clifton L, Clifton DA et al. (2025)
Aggregation on Learnable Manifolds for Asynchronous Federated Optimization
Licudi A, Thakur A, Molaei S, Belgrave D & Clifton D (2025)
Characterising Parkinson's Disease-like Walking Using Wrist-worn Accelerometers
Acquah A, Hamy V, Clifton D & Doherty A (2025), Companion of the 2025 ACM International Joint Conference on Pervasive and Ubiquitous Computing, 50-54
BibTeX
@inproceedings{characterisingp-2025/10,
title={Characterising Parkinson's Disease-like Walking Using Wrist-worn Accelerometers},
author={Acquah A, Hamy V, Clifton D & Doherty A},
booktitle={UbiComp '25:The 2025 ACM International Joint Conference on Pervasive and Ubiquitous Computing / ISWC ACM International Symposium on Wearable Computers},
pages={50-54},
year = "2025"
}
Development and external validation of a clinical prediction model for new-onset atrial fibrillation in intensive care: a multicentre, retrospective cohort study.
Bedford JP, Redfern O, Gerry S, Hatch R, Keating L et al. (2025), The Lancet. Digital health, 100896
BibTeX
@article{developmentande-2025/9,
title={Development and external validation of a clinical prediction model for new-onset atrial fibrillation in intensive care: a multicentre, retrospective cohort study.},
author={Bedford JP, Redfern O, Gerry S, Hatch R, Keating L et al.},
journal={The Lancet. Digital health},
number={100896},
pages={100896},
publisher={Elsevier BV},
year = "2025"
}
Learning Across the Divide: Personalised Federated Learning for Robust Clinical Modelling under Data-View Heterogeneity
Molaei S, Thakur A, Clifton L, Soltan A, Schwab P et al. (2025), IEEE Journal of Biomedical and Health Informatics, PP(99), 1-10
BibTeX
@article{learningacrosst-2025/9,
title={Learning Across the Divide: Personalised Federated Learning for Robust Clinical Modelling under Data-View Heterogeneity},
author={Molaei S, Thakur A, Clifton L, Soltan A, Schwab P et al.},
journal={IEEE Journal of Biomedical and Health Informatics},
volume={PP},
pages={1-10},
publisher={Institute of Electrical and Electronics Engineers (IEEE)},
year = "2025"
}
A collaborative large language model for drug analysis
Zhou H, Liu F, Wu J, Zhang W, Huang G et al. (2025), Nature Biomedical Engineering, 1-12
Dynamic Beat-to-Beat Measurements of Blood Pressure Using Multimodal Physiological Signals and a Hybrid CNN-LSTM Model
Xiang T, Jin Y, Liu Z, Clifton L, Clifton DA et al. (2025), IEEE Journal of Biomedical and Health Informatics, 29(8), 5438-5451
BibTeX
@article{dynamicbeattobe-2025/8,
title={Dynamic Beat-to-Beat Measurements of Blood Pressure Using Multimodal Physiological Signals and a Hybrid CNN-LSTM Model},
author={Xiang T, Jin Y, Liu Z, Clifton L, Clifton DA et al.},
journal={IEEE Journal of Biomedical and Health Informatics},
volume={29},
pages={5438-5451},
publisher={Institute of Electrical and Electronics Engineers (IEEE)},
year = "2025"
}
Beyond correlations: the necessity and the challenges of causal AI
Chauhan VK, Dhami DS, Gao B, Wang X, Clifton L et al. (2025)
Bridging the generalisation gap: synthetic data generation for multi-site clinical model validation
Segal B, Fieggen J, Clifton D & Clifton L (2025)
BibTeX
@inproceedings{bridgingthegene-2025/7,
title={Bridging the generalisation gap: synthetic data generation for multi-site clinical model validation},
author={Segal B, Fieggen J, Clifton D & Clifton L},
booktitle={47th Annual International Conference of the IEEE Engineering in Medicine and Biology Society},
year = "2025"
}
Guest Editorial: Introduction to the Special Section on Large-Scale Multimodal Learning: Universality, Robustness, Efficiency, and Beyond
Xu P, Bai S, Zhou B, Clifton D, Vedaldi A et al. (2025), IEEE Transactions on Pattern Analysis and Machine Intelligence, 47(7), 5127-5129
BibTeX
@article{guesteditoriali-2025/7,
title={Guest Editorial: Introduction to the Special Section on Large-Scale Multimodal Learning: Universality, Robustness, Efficiency, and Beyond},
author={Xu P, Bai S, Zhou B, Clifton D, Vedaldi A et al.},
journal={IEEE Transactions on Pattern Analysis and Machine Intelligence},
volume={47},
pages={5127-5129},
publisher={Institute of Electrical and Electronics Engineers (IEEE)},
year = "2025"
}
Efficient Task Grouping Through Sample-wise Optimisation Landscape Analysis
Thakur A, Huang Y, Molaei S, Wang Y & Clifton DA (2025), IEEE Transactions on Pattern Analysis and Machine Intelligence, PP(99), 1-14
BibTeX
@article{efficienttaskgr-2025/7,
title={Efficient Task Grouping Through Sample-wise Optimisation Landscape Analysis},
author={Thakur A, Huang Y, Molaei S, Wang Y & Clifton DA},
journal={IEEE Transactions on Pattern Analysis and Machine Intelligence},
volume={PP},
pages={1-14},
publisher={Institute of Electrical and Electronics Engineers (IEEE)},
year = "2025"
}
Epidemiology of Thrombotic Thrombocytopenia Syndrome 2011 to 2022: English Sentinel Network Cohort Studies
Ordóñez-Mena JM, Kar D, Fan X, Ferreira F, Anand SN et al. (2025), Drug Safety, 1-15
BibTeX
@article{epidemiologyoft-2025/7,
title={Epidemiology of Thrombotic Thrombocytopenia Syndrome 2011 to 2022: English Sentinel Network Cohort Studies},
author={Ordóñez-Mena JM, Kar D, Fan X, Ferreira F, Anand SN et al.},
journal={Drug Safety},
pages={1-15},
publisher={Springer Nature},
year = "2025"
}
Continual learning across population cohorts with distribution shift: insights from multi-cohort metabolic syndrome identification.
Liu C, Liu Z, Liu J, Cai C, Clifton DA et al. (2025), Journal of the American Medical Informatics Association : JAMIA, ocaf070
BibTeX
@article{continuallearni-2025/6,
title={Continual learning across population cohorts with distribution shift: insights from multi-cohort metabolic syndrome identification.},
author={Liu C, Liu Z, Liu J, Cai C, Clifton DA et al.},
journal={Journal of the American Medical Informatics Association : JAMIA},
pages={ocaf070},
publisher={Oxford University Press (OUP)},
year = "2025"
}
Sensing Cardiac Health Across Scenarios and Devices: A Multi-Modal Foundation Model Pretrained on Heterogeneous Data from 1.7 Million Individuals
Gu X, Tang W, Han J, Sangha V, Liu F et al. (2025)
BibTeX
@misc{sensingcardiach-2025/6,
title={Sensing Cardiac Health Across Scenarios and Devices: A Multi-Modal Foundation Model Pretrained on Heterogeneous Data from 1.7 Million Individuals},
author={Gu X, Tang W, Han J, Sangha V, Liu F et al.},
year = "2025"
}
F3OCUS - Federated Finetuning of Vision-Language Foundation Models with Optimal Client Layer Updating Strategy via Multi-objective Meta-Heuristics
Saha P, Wagner F, Mishra D, Peng C, Thakur A et al. (2025), 00, 20006-20017
BibTeX
@inproceedings{focusfederatedf-2025/6,
title={F3OCUS - Federated Finetuning of Vision-Language Foundation Models with Optimal Client Layer Updating Strategy via Multi-objective Meta-Heuristics},
author={Saha P, Wagner F, Mishra D, Peng C, Thakur A et al.},
booktitle={2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
pages={20006-20017},
year = "2025"
}
Enhancing Online Continual Learning with Plug-and-Play State Space Model and Class-Conditional Mixture of Discretization
Liu S, Yang Y, Li X, Clifton DA & Ghanem B (2025), 00, 20502-20511
BibTeX
@inproceedings{enhancingonline-2025/6,
title={Enhancing Online Continual Learning with Plug-and-Play State Space Model and Class-Conditional Mixture of Discretization},
author={Liu S, Yang Y, Li X, Clifton DA & Ghanem B},
booktitle={2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
pages={20502-20511},
year = "2025"
}
Awake Prone Positioning in Adults With COVID-19
Luo J, Pavlov I, Tavernier E, Perez Y, Kharat A et al. (2025), JAMA Internal Medicine, 185(5), 572-581
Transformers for rapid detection of airway stenosis and stridor
Anibal J, Doctor R, Boyer M, Newberry K, De Santiago I et al. (2025), Scientific Reports, 15(1)
Dysregulated immune proteins in plasma in the UK Biobank predict Multiple Myeloma 12 years before clinical diagnosis
Fieggen J, Thakur A, Butler CC, Ramasamy K, Thakurta A et al. (2025), Blood Advances
BibTeX
@article{dysregulatedimm-2025/5,
title={Dysregulated immune proteins in plasma in the UK Biobank predict Multiple Myeloma 12 years before clinical diagnosis},
author={Fieggen J, Thakur A, Butler CC, Ramasamy K, Thakurta A et al.},
journal={Blood Advances},
publisher={American Society of Hematology},
year = "2025"
}
Benchmarking transformer-based models for medical record deidentification: A single centre, multi-specialty evaluation
Kuo R, Soltan AAS, O'Hanlon C, Hasanic A, Clifton DA et al. (2025)
MISE: meta-knowledge inheritance for social media-based stressor estimation
Wang X, Feng L, Zhang H, Cao L, Zeng K et al. (2025), WWW '25: Proceedings of the ACM on Web Conference 2025, 1866-1876
Application of large language models in medicine
Liu F, Zhou H, Gu B, Zou X, Huang J et al. (2025), Nature Reviews Bioengineering
A scoping review of large language models for generative tasks in mental health care
Hua Y, Na H, Li Z, Liu F, Fang X et al. (2025), npj Digital Medicine, 8(1)
Microtitre Plate Image Augmentation with Generative Adversarial Networks
Li R, Chai T, Kouchaki S, Clifton D & Yang Y (2025), ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 00, 1-5
BibTeX
@inproceedings{microtitreplate-2025/4,
title={Microtitre Plate Image Augmentation with Generative Adversarial Networks},
author={Li R, Chai T, Kouchaki S, Clifton D & Yang Y},
booktitle={ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
pages={1-5},
year = "2025"
}
Bridging the Generalisation Gap: Synthetic Data Generation for Multi-Site Clinical Model Validation
Segal B, Fieggen J, Clifton D & Clifton L (2025)
RiskAgent: Autonomous Medical AI Copilot for Generalist Risk Prediction
Liu F, Wu J, Zhou H, Gu X, Molaei S et al. (2025)
Endotherapy in Non-Variceal AUGIB: Predictors from Pre-Endoscopy and Endoscopy Findings – Insights from a multicentre prospective UK cohort study
Nigam G, Thakur A, Grant-Casey J, Ratcliffe E, Uberoi R et al. (2025), Endoscopy, 57(S 02), s149-s149
BibTeX
@article{endotherapyinno-2025/3,
title={Endotherapy in Non-Variceal AUGIB: Predictors from Pre-Endoscopy and Endoscopy Findings – Insights from a multicentre prospective UK cohort study},
author={Nigam G, Thakur A, Grant-Casey J, Ratcliffe E, Uberoi R et al.},
journal={Endoscopy},
volume={57},
pages={s149-s149},
publisher={Thieme},
year = "2025"
}
A multimodal multidomain multilingual medical foundation model for zero shot clinical diagnosis
Liu F, Li Z, Yin Q, Huang J, Luo J et al. (2025), npj Digital Medicine, 8(1)
Status of Digital Health Technology Adoption in 5 Vietnamese Hospitals: Cross-Sectional Assessment.
Tran DM, Thanh Dung N, Minh Duc C, Ngoc Hon H, Minh Khoi L et al. (2025), JMIR formative research, 9, e53483
BibTeX
@article{statusofdigital-2025/2,
title={Status of Digital Health Technology Adoption in 5 Vietnamese Hospitals: Cross-Sectional Assessment.},
author={Tran DM, Thanh Dung N, Minh Duc C, Ngoc Hon H, Minh Khoi L et al.},
journal={JMIR formative research},
volume={9},
number={ARTN e53483},
pages={e53483},
publisher={JMIR Publications},
year = "2025"
}
Individualised Treatment Effects Estimation with Composite Treatments and Composite Outcomes
Chauhan VK, Clifton L, Nigam G & Clifton DA (2025)
Enhancing Generalization via Sharpness-Aware Trajectory Matching for Dataset Condensation
Gao B, Zhao B, Gowda SN, Xing X, Yang Y et al. (2025)
Aligning, autoencoding and prompting large language models for novel disease reporting
Liu F, Wu X, Huang J, Yang B, Branson K et al. (2025), IEEE Transactions on Pattern Analysis and Machine Intelligence, 47(5), 3332-3343
BibTeX
@article{aligningautoenc-2025/1,
title={Aligning, autoencoding and prompting large language models for novel disease reporting},
author={Liu F, Wu X, Huang J, Yang B, Branson K et al.},
journal={IEEE Transactions on Pattern Analysis and Machine Intelligence},
volume={47},
pages={3332-3343},
publisher={IEEE},
year = "2025"
}