Digital Health
A Multimodal Large Language Modelling Deep Learning Framework for the Future Pandemic
Liu F,  Zhu T,  Wu X,  Yang B,  You C,  Wang C,  Lu L,  Liu Z,  Zheng Y,  Sun X,  Yang Y,  Clifton D,  et al. (2023)
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,  Dickson P,  Soltan MA,  Thickett DR,  Eyre DW,  Zhu T,  Clifton DA,  et al. (2024)
Predicting future hospital antimicrobial resistance prevalence using machine learning
Vihta K-D,  Pritchard E,  Pouwels KB,  Hopkins S,  Guy RL,  Henderson K,  Chudasama D,  Hope R,  Muller-Pebody B,  Walker AS,  Clifton D,  Eyre DW,  et al. (2023)
Supporting people with type 2 diabetes in effective use of their medicine through mobile health technology integrated with clinical care (SuMMiT-D pilot): results of a feasibility randomised trial
Farmer AJ,  Allen J,  Bartlett YK,  Bower P,  Chi Y,  French DP,  Gudgin B,  Holmes E,  Horne R,  Hughes DA,  Jones L,  Kenning C,  Locock L,  McSharry J,  Miles L,  Newhouse N,  Rea R,  Robinson S,  Tarassenko L,  Velardo C,  Williams N,  Yu L-M,  et al. (2024)
Acceptance and User Experiences of a Wearable Device for the Management of Hospitalized Patients in COVID-19-Designated Wards in Ho Chi Minh City, Vietnam: Action Learning Project.
Luu AP,  Nguyen TT,  Cao VTC,  Ha THD,  Chung LTT,  Truong TN,  Nguyen Le Nhu T,  Dao KB,  Nguyen HV,  Khanh PNQ,  Le KTT,  Tran LHB,  Nhat PTH,  Tran DM,  Lam YM,  Thwaites CL,  Mcknight J,  Vinh Chau NV,  Van Nuil JI,  Vietnam ICU Translational Applications Laboratory (VITAL) ,  et al. (2024)
Undertaking multi-centre randomised controlled trials in primary care: learnings and recommendations from the PULsE-AI trial researchers
Pollock KG,  Dickerson C,  Kainth M,  Lawton S,  Hurst M,  Sugrue DM,  Arden C,  Davies DW,  Martin A-C,  Sandler B,  Gordon J,  Farooqui U,  Clifton D,  Mallen C,  Rogers J,  Hill NR,  Camm AJ,  Cohen AT,  et al. (2024)
Quantitative measurement of antibiotic resistance in Mycobacterium tuberculosis reveals genetic determinants of resistance and susceptibility in a target gene approach
Zankin A,  Clifton D,  Crook D,  Earle S,  Fowler P,  Giberto Cruz A,  Hoosdally S,  Knaggs J,  Hunt M,  Kouchaki S,  Lachapelle A,  Peto T,  Rodger G,  Roohi A,  Thwaites G,  Walker AS,  Wilson D,  Yang Y,  et al. (2024)
Tetanus severity classification in low-middle income countries through ECG wearable sensors and a 1D-vision transformer
Lu P,  Wang Z,  Ha Thi HD,  Hai HB,  Thwaites L,  Clifton DA,  et al. (2024)
Medical records condensation: a roadmap towards healthcare data democratisation
Thakur A,  Wang Y,  Dong M,  Ma P,  Petridis S,  Shang L,  Zhu T,  Clifton D,  et al. (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,  Chen W-H,  Williams R,  Llop C,  Yee C,  Duh MS,  Doherty A,  Garcia-Gancedo L,  Clifton DA,  et al. (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,  Zhou J,  Ribeiro ALP,  Zhang Y-T,  Clifton DA,  et al. (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,  Nhu LNT,  Han DDK,  Zhu T,  Thanh TT,  Tadesse GA,  Clifton D,  Van Doorn HR,  Van Tan L,  Thwaites CL,  et al. (2024)
Data encoding for healthcare data democratization and information leakage prevention
Thakur A,  Wang Y,  Armstrong J,  Zhu T,  Abrol V,  Clifton DA,  et al. (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,  Clifton DA,  et al. (2024)
Non-contact physiological monitoring of preterm infants in the Neonatal Intensive Care Unit
Villarroel M,  Chaichulee S,  Jorge J,  Davis S,  Green G,  Arteta C,  Zisserman A,  McCormick K,  Watkinson P,  Tarassenko L,  et al. (2019)
Adversarial de-confounding in individualised treatment effects estimation
Kumar V,  Molaei S,  Hoque Tania M,  Thakur A,  Zhu T,  Clifton D,  et al. (2023)
Retrieve, reason, and refine: generating accurate and faithful patient instructions
Liu F,  Yang B,  You C,  Wu X,  Ge S,  Liu Z,  Sun X,  Yang Y,  Clifton D,  et al. (2023)
Expectation-maximization contrastive learning for compact video-and-language representations
Jin P,  Huang J,  Liu F,  Wu X,  Ge S,  Song G,  Clifton D,  Chen J,  et al. (2023)
Privacy-aware early detection of COVID-19 through adversarial training
Rohanian M,  Kouchaki S,  Soltan A,  Yang J,  Yang Y,  Clifton D,  et al. (2022)
Digital health and machine learning technologies for blood glucose monitoring and management of gestational diabetes
Lu H,  Ding X,  Hirst J,  Yang Y,  Yang J,  Mackillop L,  Clifton D,  et al. (2023)
Identification of undiagnosed atrial fibrillation using a machine learning risk-prediction algorithm and diagnostic testing (PULsE-AI) in primary care: a multi-centre randomized controlled trial in England
Hill NR,  Groves L,  Dickerson C,  Ochs A,  Pang D,  Lawton S,  Hurst M,  Pollock KG,  Sugrue DM,  Tsang C,  Arden C,  Wyn Davies D,  Martin AC,  Sandler B,  Gordon J,  Farooqui U,  Clifton D,  Mallen C,  Rogers J,  Camm AJ,  Cohen AT,  et al. (2022)
Self-aware SGD: reliable incremental adaptation framework for clinical AI models
Thakur A,  Armstrong J,  Youssef A,  Eyre D,  Clifton DA,  et al. (2023)
Development and Validation of a Machine Learning Wrist-worn Step Detection Algorithm with Deployment in the UK Biobank
Small S,  Chan S,  Walmsley R,  Fritsch LV,  Acquah A,  Mertes G,  Feakins B,  Creagh A,  Strange A,  Matthews C,  Clifton D,  Price A,  Khalid S,  Bennett D,  Doherty A,  et al. (2023)
On the effectiveness of compact biomedical transformers
Rohanian O,  Nouriborji M,  Kouchaki S,  Clifton DA,  et al. (2023)