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Publications

Showing 634 publications by David Clifton

When Text and Numbers Disagree: Evidence Arbitration in Large Language Models

Carletti M, Phillips E, Gustafsson FK, Palo P, Clifton L et al. (2026)

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BibTeX
@misc{whentextandnumb-2026/8,
  title={When Text and Numbers Disagree: Evidence Arbitration in Large Language Models},
  author={Carletti M, Phillips E, Gustafsson FK, Palo P, Clifton L et al.},
  year = "2026"
}

Large Language Models for Optimizing Patient Recruitment Decisions in Voice Data Generation Projects

Anibal J, Nama GKC, Ganesh S, Nafii Y, Cruz SS et al. (2026), Laryngoscope Investigative Otolaryngology, 11(4), e70519

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@article{largelanguagemo-2026/8,
  title={Large Language Models for Optimizing Patient Recruitment Decisions in Voice Data Generation Projects},
  author={Anibal J, Nama GKC, Ganesh S, Nafii Y, Cruz SS et al.},
  journal={Laryngoscope Investigative Otolaryngology},
  volume={11},
  pages={e70519},
  publisher={Wiley},
  year = "2026"
}

ShadowNet for Data-Centric Quantum System Learning

Du Y, Yang Y, Liu T, Lin Z, Clifton DA et al. (2026), IEEE Transactions on Pattern Analysis and Machine Intelligence, PP(99), 1-17

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@article{shadownetfordat-2026/8,
  title={ShadowNet for Data-Centric Quantum System Learning},
  author={Du Y, Yang Y, Liu T, Lin Z, Clifton DA et al.},
  journal={IEEE Transactions on Pattern Analysis and Machine Intelligence},
  volume={PP},
  pages={1-17},
  publisher={Institute of Electrical and Electronics Engineers (IEEE)},
  year = "2026"
}

An AI agent for treatment reasoning over a biomedical tool universe

Gao S, Noori A, Zhu R, Ginder C, Kong Z et al. (2026)

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@misc{anaiagentfortre-2026/6,
  title={An AI agent for treatment reasoning over a biomedical tool universe},
  author={Gao S, Noori A, Zhu R, Ginder C, Kong Z et al.},
  year = "2026"
}

Development and validation of a multimodal artificial intelligence-based model for predicting post-prostatectomy treatment outcomes from baseline biparametric prostate magnetic resonance imaging

Simon BD, Akcicek E, Harmon SA, Clifton L, Thakur A et al. (2026), Diagnostic and Interventional Radiology

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@article{developmentandv-2026/6,
  title={Development and validation of a multimodal artificial intelligence-based model for predicting post-prostatectomy treatment outcomes from baseline biparametric prostate magnetic resonance imaging},
  author={Simon BD, Akcicek E, Harmon SA, Clifton L, Thakur A et al.},
  journal={Diagnostic and Interventional Radiology},
  publisher={Galenos Yayinevi},
  year = "2026"
}

Measuring Epistemic Resilience of LLMs Under Misleading Medical Context

Zhou H, Zou X, Wu J, Wu S, Yu J et al. (2026)

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@misc{measuringepiste-2026/6,
  title={Measuring Epistemic Resilience of LLMs Under Misleading Medical Context},
  author={Zhou H, Zou X, Wu J, Wu S, Yu J et al.},
  year = "2026"
}

Mitigating algorithmic unfairness arising from forgetfulness of medical records in clinical artificial intelligence

Chen Y, Thakur A, Soltan AAS, Shen Y, Li D et al. (2026), Nature Communications

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@article{mitigatingalgor-2026/5,
  title={Mitigating algorithmic unfairness arising from forgetfulness of medical records in clinical artificial intelligence},
  author={Chen Y, Thakur A, Soltan AAS, Shen Y, Li D et al.},
  journal={Nature Communications},
  publisher={Springer Nature},
  year = "2026"
}

Extending Pretrained 10-Second ECG Foundation Models to Longer Horizons

Tang W, Han J, Cui K, Carletti M, Gustafsson FK et al. (2026)

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@misc{extendingpretra-2026/5,
  title={Extending Pretrained 10-Second ECG Foundation Models to Longer Horizons},
  author={Tang W, Han J, Cui K, Carletti M, Gustafsson FK et al.},
  year = "2026"
}

Geometric Characterisation and Structured Trajectory Surrogates for Clinical Dataset Condensation

Nganjimi PC, Soltan A, Belgrave D, Clifton L, Clifton D et al. (2026)

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@misc{geometriccharac-2026/4,
  title={Geometric Characterisation and Structured Trajectory Surrogates for Clinical Dataset Condensation},
  author={Nganjimi PC, Soltan A, Belgrave D, Clifton L, Clifton D et al.},
  year = "2026"
}

OptimusKG: unifying biomedical knowledge in a modern multimodal graph

Vittor L, Noori A, Arango I, Polonuer J, Rodriques S et al. (2026)

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@misc{optimuskgunifyi-2026/4,
  title={OptimusKG: unifying biomedical knowledge in a modern multimodal graph},
  author={Vittor L, Noori A, Arango I, Polonuer J, Rodriques S et al.},
  year = "2026"
}

Benchmarking Pathology Foundation Models for Breast Cancer Survival Prediction

Gustafsson FK, Boissin C, Vallon-Christersson J, Clifton DA & Rantalainen M (2026)

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@misc{benchmarkingpat-2026/4,
  title={Benchmarking Pathology Foundation Models for Breast Cancer Survival Prediction},
  author={Gustafsson FK, Boissin C, Vallon-Christersson J, Clifton DA & Rantalainen M},
  year = "2026"
}

BAS: A Decision-Theoretic Approach to Evaluating Large Language Model Confidence

Wu S, Gustafsson FK, Phillips E, Gao B, Thakur A et al. (2026)

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@misc{basadecisionthe-2026/4,
  title={BAS: A Decision-Theoretic Approach to Evaluating Large Language Model Confidence},
  author={Wu S, Gustafsson FK, Phillips E, Gao B, Thakur A et al.},
  year = "2026"
}

Autonomous Knowledge Graph Exploration with Adaptive Breadth-Depth Retrieval

Polonuer J, Vittor L, Arango I, Noori A, Clifton DA et al. (2026)

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@misc{autonomousknowl-2026/4,
  title={Autonomous Knowledge Graph Exploration with Adaptive Breadth-Depth Retrieval},
  author={Polonuer J, Vittor L, Arango I, Noori A, Clifton DA et al.},
  year = "2026"
}

Neuro-symbolic federated learning over heterogeneous data-views: a structured approach to distributive EHR modelling

Molaei S, Fatemi B, Thakur A, Soltan A, Rabbi F et al. (2026), Proceedings of the 40th Annual AAAI Conference on Artificial Intelligence, 40(29), 24422-24430

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@inproceedings{neurosymbolicfe-2026/3,
  title={Neuro-symbolic federated learning over heterogeneous data-views: a structured approach to distributive EHR modelling},
  author={Molaei S, Fatemi B, Thakur A, Soltan A, Rabbi F et al.},
  booktitle={40th Annual AAAI Conference on Artificial Intelligence (AAAI 2026)},
  pages={24422-24430},
  year = "2026"
}

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

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@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)

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@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"
}

SignalMC-MED: A Multimodal Benchmark for Evaluating Biosignal Foundation Models on Single-Lead ECG and PPG

Gustafsson FK, Gu X, Carletti M, Palo P, Eyre DW et al. (2026)

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@misc{signalmcmedamul-2026/3,
  title={SignalMC-MED: A Multimodal Benchmark for Evaluating Biosignal Foundation Models on Single-Lead ECG and PPG},
  author={Gustafsson FK, Gu X, Carletti M, Palo P, Eyre DW et al.},
  year = "2026"
}

Entropy Alone is Insufficient for Safe Selective Prediction in LLMs

Phillips E, Gustafsson FK, Wu S, Thakur A & Clifton DA (2026)

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@misc{entropyaloneisi-2026/3,
  title={Entropy Alone is Insufficient for Safe Selective Prediction in LLMs},
  author={Phillips E, Gustafsson FK, Wu S, Thakur A & Clifton DA},
  year = "2026"
}

Semantic Self-Distillation for Language Model Uncertainty

Phillips E, Wu S, Gustafsson FK, Gao B & Clifton DA (2026)

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@misc{semanticselfdis-2026/3,
  title={Semantic Self-Distillation for Language Model Uncertainty},
  author={Phillips E, Wu S, Gustafsson FK, Gao B & Clifton DA},
  year = "2026"
}

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. (2026), Proceedings of The Second AAAI Bridge Program on AI for Medicine and Healthcare, 317, 117-126

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@inproceedings{clinicalrempowe-2026/3,
  title={Clinical-R1: empowering large language models for faithful and comprehensive reasoning with clinical objective relative policy optimization},
  author={Gu B, Zhou H, Segal BM, Wu J, Cao Z et al.},
  booktitle={2nd AAAI Bridge Program on AI for Medicine and Healthcare (AIMedHealth 2026)},
  pages={117-126},
  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)

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@article{digitalmorphine-2026/3,
  title={Digital morphine: why AI scribes are symptomatic relief for a broken system},
  author={Segal B, Allen L, Fieggen J, Clifton D & Clifton L},
  journal={BMJ Digital Health & AI},
  volume={2},
  number={e000030},
  publisher={BMJ Publishing Group},
  year = "2026"
}

Cardiac health assessment across scenarios and devices using a multimodal foundation model pretrained on data from 1.7 million individuals

Gu X, Tang W, Han J, Sangha V, Liu F et al. (2026), Nature Machine Intelligence, 8(2), 220-233

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@article{cardiachealthas-2026/2,
  title={Cardiac health assessment across scenarios and devices using a multimodal foundation model pretrained on data from 1.7 million individuals},
  author={Gu X, Tang W, Han J, Sangha V, Liu F et al.},
  journal={Nature Machine Intelligence},
  volume={8},
  pages={220-233},
  publisher={Nature Research},
  year = "2026"
}

Prediction of COVID-19 hospitalisation, ICU admission or death following ChAdOx1 vaccination using artificial intelligence: A clinical predictive model from the English RAVEN study

Thakur A, Meza-Torres B, Fan X, Byford R, Joy M et al. (2026), PLoS ONE, 21(2), e0336449

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@article{predictionofcov-2026/2,
  title={Prediction of COVID-19 hospitalisation, ICU admission or death following ChAdOx1 vaccination using artificial intelligence: A clinical predictive model from the English RAVEN study},
  author={Thakur A, Meza-Torres B, Fan X, Byford R, Joy M et al.},
  journal={PLoS ONE},
  volume={21},
  number={e0336449},
  pages={e0336449},
  publisher={Public Library of Science},
  year = "2026"
}

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, 8(2), 100954

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@article{whentoandwhenno-2026/2,
  title={When to and when not to use machine learning in risk prediction models},
  author={Clifton L, Powell J, Clifton DA & Sheikh A},
  journal={The Lancet Digital Health},
  volume={8},
  pages={100954},
  publisher={Elsevier},
  year = "2026"
}

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)

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@misc{datasetsupporti-2026/2,
  title={Dataset supporting Graph-based machine learning identifies oxygenated block polymer replacements for conventional plastics and elastics},
  author={Molaei S, Poon K, Gao C, Eisenhardt K, Concilio M et al.},
  year = "2026"
}

Autonomous Knowledge Graph Exploration with Adaptive Breadth-Depth Retrieval

Polonuer J, Vittor L, Arango I, Noori A, Clifton DA et al. (2026), 15694-15709

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@inproceedings{autonomousknowl-2026/1,
  title={Autonomous Knowledge Graph Exploration with Adaptive Breadth-Depth Retrieval},
  author={Polonuer J, Vittor L, Arango I, Noori A, Clifton DA et al.},
  booktitle={Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)},
  pages={15694-15709},
  year = "2026"
}

Geometric Uncertainty for Detecting and Correcting Hallucinations in LLMs

Phillips E, Wu S, Molaei S, Belgrave D, Thakur A et al. (2025)

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@misc{geometricuncert-2025/12,
  title={Geometric Uncertainty for Detecting and Correcting Hallucinations in LLMs},
  author={Phillips E, Wu S, Molaei S, Belgrave D, Thakur A et al.},
  year = "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)

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@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"
}

Navigating severe class imbalance in population cohort data

Fieggen J, Segal B, Walker E, Thakur A, Butler C et al. (2025)

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@inproceedings{navigatingsever-2025/12,
  title={Navigating severe class imbalance in population cohort data},
  author={Fieggen J, Segal B, Walker E, Thakur A, Butler C et al.},
  booktitle={47th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2025)},
  year = "2025"
}

Bridging the generalisation gap: synthetic data generation for multi-site clinical model validation

Segal B, Fieggen J, Clifton D & Clifton L (2025), 2025 47th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

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@inproceedings{bridgingthegene-2025/12,
  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"
}

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)

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@misc{clinicalrempowe-2025/12,
  title={Clinical-R1: Empowering Large Language Models for Faithful and Comprehensive Reasoning with Clinical Objective Relative Policy Optimization},
  author={Gu B, Zhou H, Segal BM, Wu J, Cao Z et al.},
  year = "2025"
}

DrAgent: empowering Large Language Models as medical agents for multi-hop medical reasoning

Liu F, Li Z, Zhou H, Yin Q, Yang J et al. (2025), Findings of the Association for Computational Linguistics: EMNLP 2025, 15656-15668

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@inproceedings{dragentempoweri-2025/11,
  title={DrAgent: empowering Large Language Models as medical agents for multi-hop medical reasoning},
  author={Liu F, Li Z, Zhou H, Yin Q, Yang J et al.},
  booktitle={30th Conference on Empirical Methods in Natural Language Processing (EMNLP 2025)},
  pages={15656-15668},
  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

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@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"
}

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

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@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"
}

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

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@inproceedings{abstractmultimo-2025/11,
  title={Abstract 4362776: Multimodal and Serial Electrocardiogram and Chest X-ray Age Have Prognostic Significance as Biomarkers for Cardiovascular Health},
  author={Sangha V, Gu X, Khera R & Clifton D},
  pages={a4362776-a4362776},
  year = "2025"
}

Benchmarking transformer-based models for medical record de-identification in a single center multi-specialty evaluation

Kuo R, Soltan AAS, O'Hanlon C, Hasanic A, Clifton DA et al. (2025), iScience, 28(12), 113732

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@article{benchmarkingtra-2025/10,
  title={Benchmarking transformer-based models for medical record de-identification in a single center multi-specialty evaluation},
  author={Kuo R, Soltan AAS, O'Hanlon C, Hasanic A, Clifton DA et al.},
  journal={iScience},
  volume={28},
  pages={113732},
  publisher={Cell Press},
  year = "2025"
}

A global log for medical AI

Noori A, Rodman A, Karthikesalingam A, Mateen BA, Longhurst CA et al. (2025)

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@misc{agloballogforme-2025/10,
  title={A global log for medical AI},
  author={Noori A, Rodman A, Karthikesalingam A, Mateen BA, Longhurst CA et al.},
  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)

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@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"
}

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

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@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"
}

Aggregation on Learnable Manifolds for Asynchronous Federated Optimization

Licudi A, Thakur A, Molaei S, Belgrave D & Clifton D (2025)

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@misc{aggregationonle-2025/10,
  title={Aggregation on Learnable Manifolds for Asynchronous Federated Optimization},
  author={Licudi A, Thakur A, Molaei S, Belgrave D & Clifton D},
  year = "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

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@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"
}

Improving Clinical Dataset Condensation with Mode Connectivity-based Trajectory Surrogates

Nganjimi PC, Soltan A, Belgrave D, Clifton L, Clifton DA et al. (2025)

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@misc{improvingclinic-2025/10,
  title={Improving Clinical Dataset Condensation with Mode Connectivity-based Trajectory Surrogates},
  author={Nganjimi PC, Soltan A, Belgrave D, Clifton L, Clifton DA et al.},
  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

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@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

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@article{acollaborativel-2025/9,
  title={A collaborative large language model for drug analysis},
  author={Zhou H, Liu F, Wu J, Zhang W, Huang G et al.},
  journal={Nature Biomedical Engineering},
  pages={1-12},
  publisher={Springer Nature},
  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

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@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"
}

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

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@article{amultimodalauto-2025/8,
  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},
  number={110579},
  publisher={Elsevier},
  year = "2025"
}

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

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@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)

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@misc{beyondcorrelati-2025/8,
  title={Beyond correlations: the necessity and the challenges of causal AI},
  author={Chauhan VK, Dhami DS, Gao B, Wang X, Clifton L et al.},
  year = "2025"
}

Individualised treatment effects estimation with composite treatments and composite outcomes

Kumar Chauhan V, Clifton L, Nigam G & Clifton DA (2025), 2025 47th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 1-7

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@inproceedings{individualisedt-2025/7,
  title={Individualised treatment effects estimation with composite treatments and composite outcomes},
  author={Kumar Chauhan V, Clifton L, Nigam G & Clifton DA},
  booktitle={47th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2025)},
  pages={1-7},
  year = "2025"
}

A context-aware methodology for fault detection and severity classification under variable operating conditions

De Fabritiis F, Gryllias K, Chauhan VK & Clifton DA (2025), Proceedings of the 31st International Congress on Sound and Vibration

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BibTeX
@inproceedings{acontextawareme-2025/7,
  title={A context-aware methodology for fault detection and severity classification under variable operating conditions},
  author={De Fabritiis F, Gryllias K, Chauhan VK & Clifton DA},
  booktitle={31st International Congress on Sound and Vibration (ICSV31)},
  year = "2025"
}