Showing 50 publications by David Clifton
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)
BibTeX
@article{amultimodalmult-2025/2,
title={A multimodal multidomain multilingual medical foundation model for zero shot clinical diagnosis},
author={Liu F, Li Z, Yin Q, Huang J, Luo J et al.},
journal={npj Digital Medicine},
volume={8},
number={86},
publisher={Nature Research},
year = "2025"
}
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"
}
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
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},
publisher={IEEE},
year = "2025"
}
Voice EHR: introducing multimodal audio data for health
Anibal J, Huth H, Li M, Hazen L, Daoud V et al. (2025), Frontiers in Digital Health, 6
BibTeX
@article{voiceehrintrodu-2025/1,
title={Voice EHR: introducing multimodal audio data for health},
author={Anibal J, Huth H, Li M, Hazen L, Daoud V et al.},
journal={Frontiers in Digital Health},
volume={6},
number={1448351},
publisher={Frontiers Media},
year = "2025"
}
CC-SAM: SAM with Cross-Feature Attention and Context for Ultrasound Image Segmentation
Gowda SN & Clifton DA (2025), Lecture Notes in Computer Science, 15103, 108-124
BibTeX
@inproceedings{ccsamsamwithcro-2025/,
title={CC-SAM: SAM with Cross-Feature Attention and Context for Ultrasound Image Segmentation},
author={Gowda SN & Clifton DA},
pages={108-124},
year = "2025"
}
The doctor will polygraph you now
Anibal J, Gunkel J, Awan S, Huth H, Nguyen H et al. (2024), npj Health Systems, 1(1)
BibTeX
@article{thedoctorwillpo-2024/12,
title={The doctor will polygraph you now},
author={Anibal J, Gunkel J, Awan S, Huth H, Nguyen H et al.},
journal={npj Health Systems},
volume={1},
number={1},
publisher={Nature Publishing Group UK},
year = "2024"
}
RenAIssance: A Survey Into AI Text-to-Image Generation in the Era of Large Model.
Bie F, Yang Y, Zhou Z, Ghanem A, Zhang M et al. (2024), IEEE transactions on pattern analysis and machine intelligence, PP
BibTeX
@article{renaissanceasur-2024/12,
title={RenAIssance: A Survey Into AI Text-to-Image Generation in the Era of Large Model.},
author={Bie F, Yang Y, Zhou Z, Ghanem A, Zhang M et al.},
journal={IEEE transactions on pattern analysis and machine intelligence},
volume={PP},
year = "2024"
}
Predicting individual patient and hospital-level discharge using machine learning
Wei J, Zhou J, Zhang Z, Yuan K, Gu Q et al. (2024), communications medicine, 4(1)
BibTeX
@article{predictingindiv-2024/11,
title={Predicting individual patient and hospital-level discharge using machine learning},
author={Wei J, Zhou J, Zhang Z, Yuan K, Gu Q et al.},
journal={communications medicine},
volume={4},
number={236},
publisher={Nature Research},
year = "2024"
}
Property prediction of bio‐derived block copolymer thermoplastic elastomers using graph kernel methods
Williams C, Petersen SR, Marzagão DK, Gregory G, Huang Y et al. (2024), Angewandte Chemie
BibTeX
@article{propertypredict-2024/11,
title={Property prediction of bio‐derived block copolymer thermoplastic elastomers using graph kernel methods},
author={Williams C, Petersen SR, Marzagão DK, Gregory G, Huang Y et al.},
journal={Angewandte Chemie},
publisher={Wiley},
year = "2024"
}
Property Prediction of Bio-Derived Block Copolymer Thermoplastic Elastomers Using Graph Kernel Methods.
Williams CK, Petersen SR, Marzagão DK, Gregory GL, Huang Y et al. (2024), Angewandte Chemie (International ed. in English), e202411097
BibTeX
@article{propertypredict-2024/11,
title={Property Prediction of Bio-Derived Block Copolymer Thermoplastic Elastomers Using Graph Kernel Methods.},
author={Williams CK, Petersen SR, Marzagão DK, Gregory GL, Huang Y et al.},
journal={Angewandte Chemie (International ed. in English)},
pages={e202411097},
publisher={Wiley},
year = "2024"
}
The doctor will polygraph you now: ethical concerns with AI for fact-checking patients.
Anibal J, Gunkel J, Awan S, Huth H, Nguyen H et al. (2024), ArXiv
BibTeX
@article{thedoctorwillpo-2024/11,
title={The doctor will polygraph you now: ethical concerns with AI for fact-checking patients.},
author={Anibal J, Gunkel J, Awan S, Huth H, Nguyen H et al.},
journal={ArXiv},
year = "2024"
}
A Comparison of Representation Learning Methods for Medical Concepts in EHR Databases
Liu Z, Wu X, Yang Y & Clifton DA (2024), 1-1
BibTeX
@inproceedings{acomparisonofre-2024/11,
title={A Comparison of Representation Learning Methods for Medical Concepts in EHR Databases},
author={Liu Z, Wu X, Yang Y & Clifton DA},
booktitle={Proceedings of the 15th ACM International Conference on Bioinformatics, Computational Biology and Health Informatics},
pages={1-1},
year = "2024"
}
Predicting future hospital antimicrobial resistance prevalence using machine learning
Vihta K-D, Pritchard E, Pouwels KB, Hopkins S, Guy RL et al. (2024), communications medicine, 4(1)
BibTeX
@article{predictingfutur-2024/10,
title={Predicting future hospital antimicrobial resistance prevalence using machine learning},
author={Vihta K-D, Pritchard E, Pouwels KB, Hopkins S, Guy RL et al.},
journal={communications medicine},
volume={4},
number={197},
publisher={Nature Research},
year = "2024"
}
Knowledge abstraction and filtering based federated learning over heterogeneous data views in healthcare
Thakur A, Molaei S, Nganjimi PC, Soltan A, Schwab P et al. (2024), npj Digital Medicine, 7(1)
BibTeX
@article{knowledgeabstra-2024/10,
title={Knowledge abstraction and filtering based federated learning over heterogeneous data views in healthcare},
author={Thakur A, Molaei S, Nganjimi PC, Soltan A, Schwab P et al.},
journal={npj Digital Medicine},
volume={7},
number={283},
publisher={Nature Research},
year = "2024"
}
Efficiency at scale: Investigating the performance of diminutive language models in clinical tasks.
Taylor N, Ghose U, Rohanian O, Nouriborji M, Kormilitzin A et al. (2024), Artificial intelligence in medicine, 157, 103002
BibTeX
@article{efficiencyatsca-2024/10,
title={Efficiency at scale: Investigating the performance of diminutive language models in clinical tasks.},
author={Taylor N, Ghose U, Rohanian O, Nouriborji M, Kormilitzin A et al.},
journal={Artificial intelligence in medicine},
volume={157},
pages={103002},
publisher={Elsevier},
year = "2024"
}
Mine yOur owN Anatomy: revisiting medical image segmentation with extremely limited labels
You C, Dai W, Liu F, Min Y, Dvornek NC et al. (2024), IEEE Transactions on Pattern Analysis and Machine Intelligence, 46(12), 11136-11151
BibTeX
@article{mineyourownanat-2024/9,
title={Mine yOur owN Anatomy: revisiting medical image segmentation with extremely limited labels},
author={You C, Dai W, Liu F, Min Y, Dvornek NC et al.},
journal={IEEE Transactions on Pattern Analysis and Machine Intelligence},
volume={46},
pages={11136-11151},
publisher={IEEE},
year = "2024"
}
Generalizability assessment of AI models across hospitals in a low-middle and high income country
Yang J, Dung NT, Thach PN, Phong NT, Phu VD et al. (2024), Nature Communications, 15(1)
BibTeX
@article{generalizabilit-2024/9,
title={Generalizability assessment of AI models across hospitals in a low-middle and high income country},
author={Yang J, Dung NT, Thach PN, Phong NT, Phu VD et al.},
journal={Nature Communications},
volume={15},
number={8270},
publisher={Nature Research},
year = "2024"
}
Atrial fibrillation after cardiac surgery: identifying candidate predictors through a Delphi process.
Bedford J, Fields KG, Collins GS, Lip GYH, Clifton DA et al. (2024), BMJ open, 14(9), e086589
BibTeX
@article{atrialfibrillat-2024/9,
title={Atrial fibrillation after cardiac surgery: identifying candidate predictors through a Delphi process.},
author={Bedford J, Fields KG, Collins GS, Lip GYH, Clifton DA et al.},
journal={BMJ open},
volume={14},
pages={e086589},
publisher={BMJ},
year = "2024"
}
A brief review of hypernetworks in deep learning
Chauhan VK, Zhou J, Lu P, Molaei S & Clifton DA (2024), Artificial Intelligence Review, 57(9)
BibTeX
@article{abriefreviewofh-2024/8,
title={A brief review of hypernetworks in deep learning},
author={Chauhan VK, Zhou J, Lu P, Molaei S & Clifton DA},
journal={Artificial Intelligence Review},
volume={57},
number={250},
publisher={Springer},
year = "2024"
}
An improved deep regression model with state space reconstruction for continuous blood pressure estimation
Lyu L, Lu L, Chen H, Clifton DA, Zhang Y et al. (2024), Computers & Electrical Engineering, 118, 109319
BibTeX
@article{animproveddeepr-2024/8,
title={An improved deep regression model with state space reconstruction for continuous blood pressure estimation},
author={Lyu L, Lu L, Chen H, Clifton DA, Zhang Y et al.},
journal={Computers & Electrical Engineering},
volume={118},
pages={109319},
publisher={Elsevier},
year = "2024"
}
Quantitative drug susceptibility testing for Mycobacterium tuberculosis using unassembled sequencing data and machine learning
(2024), PLoS Computational Biology, 20(8)
BibTeX
@article{quantitativedru-2024/8,
title={Quantitative drug susceptibility testing for Mycobacterium tuberculosis using unassembled sequencing data and machine learning},
author={},
journal={PLoS Computational Biology},
volume={20},
number={e1012260},
publisher={Public Library of Science},
year = "2024"
}
CliqueFluxNet: Unveiling EHR Insights with Stochastic Edge Fluxing and Maximal Clique Utilisation Using Graph Neural Networks
Molaei S, Bousejin NG, Ghosheh GO, Thakur A, Chauhan VK et al. (2024), Journal of Healthcare Informatics Research, 8(3), 555-575
BibTeX
@article{cliquefluxnetun-2024/8,
title={CliqueFluxNet: Unveiling EHR Insights with Stochastic Edge Fluxing and Maximal Clique Utilisation Using Graph Neural Networks},
author={Molaei S, Bousejin NG, Ghosheh GO, Thakur A, Chauhan VK et al.},
journal={Journal of Healthcare Informatics Research},
volume={8},
pages={555-575},
publisher={Springer},
year = "2024"
}
FE-Adapter: Adapting Image-based Emotion Classifiers to Videos
Gowda SN, Gao B & Clifton DA (2024)
BibTeX
@misc{feadapteradapti-2024/8,
title={FE-Adapter: Adapting Image-based Emotion Classifiers to Videos},
author={Gowda SN, Gao B & Clifton DA},
year = "2024"
}
Daily steps are a predictor of, but perhaps not a modifiable risk factor for Parkinson's Disease: findings from the UK Biobank.
Acquah A, Creagh A, Hamy V, Shreves A, Zisou C et al. (2024)
BibTeX
@misc{dailystepsareap-2024/8,
title={Daily steps are a predictor of, but perhaps not a modifiable risk factor for Parkinson's Disease: findings from the UK Biobank.},
author={Acquah A, Creagh A, Hamy V, Shreves A, Zisou C et al.},
year = "2024"
}
The doctor will polygraph you now: ethical concerns with AI for fact-checking patients
Anibal J, Gunkel J, Awan S, Huth H, Nguyen H et al. (2024)
BibTeX
@misc{thedoctorwillpo-2024/8,
title={The doctor will polygraph you now: ethical concerns with AI for fact-checking patients},
author={Anibal J, Gunkel J, Awan S, Huth H, Nguyen H et al.},
year = "2024"
}
ZeroNLG: aligning and autoencoding domains for zero-shot multimodal and multilingual natural language generation
Yang B, Liu F, Zou Y, Wu X, Wang Y et al. (2024), IEEE Transactions on Pattern Analysis and Machine Intelligence, 46(8), 5712-5724
BibTeX
@article{zeronlgaligning-2024/7,
title={ZeroNLG: aligning and autoencoding domains for zero-shot multimodal and multilingual natural language generation},
author={Yang B, Liu F, Zou Y, Wu X, Wang Y et al.},
journal={IEEE Transactions on Pattern Analysis and Machine Intelligence},
volume={46},
pages={5712-5724},
publisher={IEEE},
year = "2024"
}
FE-Adapter: adapting image-based emotion classifiers to videos
Narayana Gowda S, Gao B & Clifton D (2024), Proceedings of the 18th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2024), 1-6
BibTeX
@inproceedings{feadapteradapti-2024/7,
title={FE-Adapter: adapting image-based emotion classifiers to videos},
author={Narayana Gowda S, Gao B & Clifton D},
booktitle={18th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2024)},
pages={1-6},
year = "2024"
}
Computer-aided prognosis of tuberculous meningitis combining imaging and non-imaging data
Canas LS, Dong THK, Beasley D, Donovan J, Cleary JO et al. (2024), Scientific Reports, 14(1)
BibTeX
@article{computeraidedpr-2024/7,
title={Computer-aided prognosis of tuberculous meningitis combining imaging and non-imaging data},
author={Canas LS, Dong THK, Beasley D, Donovan J, Cleary JO et al.},
journal={Scientific Reports},
volume={14},
number={17581},
publisher={Nature Research},
year = "2024"
}
Rapid Biomedical Research Classification: The Pandemic PACT Advanced Categorisation Engine
Rohanian O, Nouriborji M, Seminog O, Furst R, Mendy T et al. (2024)
BibTeX
@misc{rapidbiomedical-2024/7,
title={Rapid Biomedical Research Classification: The Pandemic PACT Advanced Categorisation Engine},
author={Rohanian O, Nouriborji M, Seminog O, Furst R, Mendy T et al.},
year = "2024"
}
Temporal dynamics unleashed: elevating variational graph attention
Molaei S, Niknam G, Ghosheh G, Chauhan VK, Zare H et al. (2024), Knowledge-Based Systems, 299
BibTeX
@article{temporaldynamic-2024/6,
title={Temporal dynamics unleashed: elevating variational graph attention},
author={Molaei S, Niknam G, Ghosheh G, Chauhan VK, Zare H et al.},
journal={Knowledge-Based Systems},
volume={299},
number={112110},
publisher={Elsevier},
year = "2024"
}
Mitigating machine learning bias between high income and low–middle income countries for enhanced model fairness and generalizability
Yang J, Clifton L, Dung NT, Phong NT, Yen LM et al. (2024), Scientific Reports, 14(1)
BibTeX
@article{mitigatingmachi-2024/6,
title={Mitigating machine learning bias between high income and low–middle income countries for enhanced model fairness and generalizability},
author={Yang J, Clifton L, Dung NT, Phong NT, Yen LM et al.},
journal={Scientific Reports},
volume={14},
number={13318},
publisher={Nature Research},
year = "2024"
}
Addressing label noise for electronic health records: insights from computer vision for tabular data
Yang J, Triendl H, Soltan AAS, Prakash M & Clifton DA (2024), BMC Medical Informatics and Decision Making, 24(1)
BibTeX
@article{addressinglabel-2024/6,
title={Addressing label noise for electronic health records: insights from computer vision for tabular data},
author={Yang J, Triendl H, Soltan AAS, Prakash M & Clifton DA},
journal={BMC Medical Informatics and Decision Making},
volume={24},
number={183},
publisher={BioMed Central},
year = "2024"
}
Clinical evaluation of AI-assisted muscle ultrasound for monitoring muscle wasting in ICU patients
Nhat PTH, Van Hao N, Yen LM, Anh NH, Khiem DP et al. (2024), Scientific Reports, 14(1)
BibTeX
@article{clinicalevaluat-2024/6,
title={Clinical evaluation of AI-assisted muscle ultrasound for monitoring muscle wasting in ICU patients},
author={Nhat PTH, Van Hao N, Yen LM, Anh NH, Khiem DP et al.},
journal={Scientific Reports},
volume={14},
number={14798},
publisher={Nature Research},
year = "2024"
}
CE-SSL: Computation-Efficient Semi-Supervised Learning for ECG-based Cardiovascular Diseases Detection
Zhou R, Clifton L, Liu Z, Chan KWY, Clifton DA et al. (2024)
BibTeX
@misc{cesslcomputatio-2024/6,
title={CE-SSL: Computation-Efficient Semi-Supervised Learning for ECG-based Cardiovascular Diseases Detection},
author={Zhou R, Clifton L, Liu Z, Chan KWY, Clifton DA et al.},
year = "2024"
}
Dynamic inter-treatment information sharing for individualized treatment effects estimation
Chauhan VK, Ghosheh G, Clifton DA, Molaei S & Zhou J (2024), Proceedings of The 27th International Conference on Artificial Intelligence and Statistics, 3529-3537
BibTeX
@inproceedings{dynamicintertre-2024/5,
title={Dynamic inter-treatment information sharing for individualized treatment effects estimation},
author={Chauhan VK, Ghosheh G, Clifton DA, Molaei S & Zhou J},
booktitle={27th International Conference on Artificial Intelligence and Statistics (AISTATS)},
pages={3529-3537},
year = "2024"
}
Continuous patient state attention model for addressing irregularity in electronic health records
Chauhan VK, Thakur A, O'Donoghue O, Rohanian O, Molaei S et al. (2024), BMC Medical Informatics and Decision Making, 24(1)
BibTeX
@article{continuouspatie-2024/5,
title={Continuous patient state attention model for addressing irregularity in electronic health records},
author={Chauhan VK, Thakur A, O'Donoghue O, Rohanian O, Molaei S et al.},
journal={BMC Medical Informatics and Decision Making},
volume={24},
number={117 },
publisher={BioMed Central},
year = "2024"
}
Sample selection bias in machine learning for healthcare
Chauhan VK, Clifton L, Salaün A, Lu HY, Branson K et al. (2024)
BibTeX
@misc{sampleselection-2024/5,
title={Sample selection bias in machine learning for healthcare},
author={Chauhan VK, Clifton L, Salaün A, Lu HY, Branson K et al.},
year = "2024"
}
Self-supervised machine learning to characterise step counts from wrist-worn accelerometers in the UK Biobank
Small S, Chan Chang S, Walmsley R, von Fritsch L, Acquah A et al. (2024), Medicine & Science in Sports & Exercise, 56(10), 1945-1953
BibTeX
@article{selfsupervisedm-2024/5,
title={Self-supervised machine learning to characterise step counts from wrist-worn accelerometers in the UK Biobank},
author={Small S, Chan Chang S, Walmsley R, von Fritsch L, Acquah A et al.},
journal={Medicine & Science in Sports & Exercise},
volume={56},
pages={1945-1953},
publisher={Lippincott, Williams & Wilkins},
year = "2024"
}
FE-Adapter: Adapting Image-Based Emotion Classifiers to Videos
Gowda SN, Gao B & Clifton DA (2024), 00, 1-6
BibTeX
@inproceedings{feadapteradapti-2024/5,
title={FE-Adapter: Adapting Image-Based Emotion Classifiers to Videos},
author={Gowda SN, Gao B & Clifton DA},
booktitle={2024 IEEE 18th International Conference on Automatic Face and Gesture Recognition (FG)},
pages={1-6},
year = "2024"
}
Development of an enhanced scoring system to predict ICU readmission or in-hospital death within 24 hours using routine patient data from two NHS Foundation Trusts
Pimentel MAF, Johnson A, Darbyshire J, Tarassenko L, Clifton D et al. (2024), BMJ Open, 14(4)
BibTeX
@article{developmentofan-2024/4,
title={Development of an enhanced scoring system to predict ICU readmission or in-hospital death within 24 hours using routine patient data from two NHS Foundation Trusts},
author={Pimentel MAF, Johnson A, Darbyshire J, Tarassenko L, Clifton D et al.},
journal={BMJ Open},
volume={14},
number={e074604},
publisher={BMJ Publishing Group},
year = "2024"
}
Self-supervised learning for human activity recognition using 700,000 person-days of wearable data
Yuan H, Chan Chang S, Creagh A, Tong C, Acquah A et al. (2024), npj Digital Medicine, 7(1)
BibTeX
@article{selfsupervisedl-2024/4,
title={Self-supervised learning for human activity recognition using 700,000 person-days of wearable data},
author={Yuan H, Chan Chang S, Creagh A, Tong C, Acquah A et al.},
journal={npj Digital Medicine},
volume={7},
number={91},
publisher={Springer Nature},
year = "2024"
}
Large Language Models in the Clinic: A Comprehensive Benchmark
Liu F, Li Z, Zhou H, Yin Q, Yang J et al. (2024)
BibTeX
@misc{largelanguagemo-2024/4,
title={Large Language Models in the Clinic: A Comprehensive Benchmark},
author={Liu F, Li Z, Zhou H, Yin Q, Yang J et al.},
year = "2024"
}
Omicron detection with large language models and YouTube audio data
Anibal JT, Landa AJ, Hang NTT, Song MJ, Peltekian AK et al. (2024)
BibTeX
@misc{omicrondetectio-2024/3,
title={Omicron detection with large language models and YouTube audio data},
author={Anibal JT, Landa AJ, Hang NTT, Song MJ, Peltekian AK et al.},
year = "2024"
}
Digital health technologies and machine learning augment patient reported outcomes to remotely characterise rheumatoid arthritis
Creagh AP, Hamy V, Yuan H, Mertes G, Tomlinson R et al. (2024), npj Digital Medicine, 7(1)
BibTeX
@article{digitalhealthte-2024/2,
title={Digital health technologies and machine learning augment patient reported outcomes to remotely characterise rheumatoid arthritis},
author={Creagh AP, Hamy V, Yuan H, Mertes G, Tomlinson R et al.},
journal={npj Digital Medicine},
volume={7},
number={33},
publisher={Springer Nature},
year = "2024"
}
Decoding 2.3 million ECGs: interpretable deep learning for advancing cardiovascular diagnosis and mortality risk stratification
Lu L, Zhu T, Ribeiro AH, Clifton L, Zhao E et al. (2024), European Heart Journal – Digital Health, 5(3), 247-259
BibTeX
@article{decodingmillion-2024/2,
title={Decoding 2.3 million ECGs: interpretable deep learning for advancing cardiovascular diagnosis and mortality risk stratification},
author={Lu L, Zhu T, Ribeiro AH, Clifton L, Zhao E et al.},
journal={European Heart Journal – Digital Health},
volume={5},
pages={247-259},
publisher={Oxford University Press},
year = "2024"
}
Feasibility of wearable monitors to detect heart rate variability in children with hand, foot and mouth disease.
Nhan LNT, Hung NT, Khanh TH, Hong NTT, Ny NTH et al. (2024), BMC infectious diseases, 24(1), 205
BibTeX
@article{feasibilityofwe-2024/2,
title={Feasibility of wearable monitors to detect heart rate variability in children with hand, foot and mouth disease.},
author={Nhan LNT, Hung NT, Khanh TH, Hong NTT, Ny NTH et al.},
journal={BMC infectious diseases},
volume={24},
pages={205},
publisher={Springer Nature},
year = "2024"
}
Data encoding for healthcare data democratization and information leakage prevention
Thakur A, Wang Y, Armstrong J, Zhu T, Abrol V et al. (2024), Nature Communications, 15(1)
BibTeX
@article{dataencodingfor-2024/2,
title={Data encoding for healthcare data democratization and information leakage prevention},
author={Thakur A, Wang Y, Armstrong J, Zhu T, Abrol V et al.},
journal={Nature Communications},
volume={15},
number={1582},
publisher={Springer Nature},
year = "2024"
}
AZD1222 effectiveness against severe COVID-19 in individuals with comorbidity or frailty: the RAVEN cohort study
Meeraus W, Joy M, Ouwens M, Taylor KS, Venkatesan S et al. (2024), Journal of Infection, 88(4)
BibTeX
@article{azdeffectivenes-2024/2,
title={AZD1222 effectiveness against severe COVID-19 in individuals with comorbidity or frailty: the RAVEN cohort study},
author={Meeraus W, Joy M, Ouwens M, Taylor KS, Venkatesan S et al.},
journal={Journal of Infection},
volume={88},
number={106129},
publisher={Elsevier},
year = "2024"
}
Efficiency at Scale: Investigating the Performance of Diminutive Language Models in Clinical Tasks
Taylor N, Ghose U, Rohanian O, Nouriborji M, Kormilitzin A et al. (2024)
BibTeX
@misc{efficiencyatsca-2024/2,
title={Efficiency at Scale: Investigating the Performance of Diminutive Language Models in Clinical Tasks},
author={Taylor N, Ghose U, Rohanian O, Nouriborji M, Kormilitzin A et al.},
year = "2024"
}
A scalable federated learning solution for secondary care using low-cost microcomputing: privacy-preserving development and evaluation of a COVID-19 screening test in UK hospitals
Soltan AS, Thakur A, Yang J, Chauhan A, D'Cruz LG et al. (2024), Lancet Digital Health, 6(2), E93-E104
BibTeX
@article{ascalablefedera-2024/1,
title={A scalable federated learning solution for secondary care using low-cost microcomputing: privacy-preserving development and evaluation of a COVID-19 screening test in UK hospitals},
author={Soltan AS, Thakur A, Yang J, Chauhan A, D'Cruz LG et al.},
journal={Lancet Digital Health},
volume={6},
pages={E93-E104},
publisher={Elsevier},
year = "2024"
}