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Let your heart speak in its mother tongue: Multilingual captioning of cardiac signals
Kiyasseh D,  Zhu T,  Clifton D,  et al. (2021)
High fluoroquinolone resistance proportions among multidrug-resistant tuberculosis driven by dominant L2 Mycobacterium tuberculosis clones in the Mumbai Metropolitan Region.
Dreyer V,  Mandal A,  Dev P,  Merker M,  Barilar I,  Utpatel C,  Nilgiriwala K,  Rodrigues C,  Crook DW,  CRyPTIC Consortium ,  Rasigade J-P,  Wirth T,  Mistry N,  Niemann S,  et al. (2022)
A Brief Review of Hypernetworks in Deep Learning
Chauhan VK,  Zhou J,  Lu P,  Molaei S,  Clifton D,  et al. (2023)
Comparing the risks of new-onset gastric cancer or gastric diseases in type 2 diabetes mellitus patients exposed to SGLT2I, DPP4I or GLP1A: a population-based cohort study
Chou OHI,  Chauhan VK,  Chung CT,  Lu L,  Lee TTL,  Ng ZMW,  Wang KK,  Lee S,  Liu H,  Wong WT,  Pang RTK,  Kaewdech A,  Cheung BMY,  Tse G,  Zhou J,  et al. (2023)
Digital Omicron detection using unscripted voice samples from social media.
Anibal JT,  Landa AJ,  Nguyen HT,  Peltekian AK,  Shin AD,  Song MJ,  Christou AS,  Hazen LA,  Rivera J,  Morhard RA,  Bagci U,  Li M,  Clifton DA,  Wood BJ,  et al. (2022)
Heart rate variability measured from wearable devices as a marker of disease severity in tetanus
Hai HB,  Cattrall JWS,  Hao NV,  Van HMT,  Thuy DB,  Nhat PTH,  Khanh PNQ,  Duong HTH,  Duong TD,  Lu P,  Phuong LT,  Greeff H,  Zhu T,  Yen LM,  Clifton D,  Thwaites CL,  et al. (2023)
A medical multimodal large language model for future pandemics
Liu F,  Zhu T,  Wu X,  Yang B,  You C,  Wang C,  Lu L,  Liu Z,  Zheng Y,  Sun X,  Yang Y,  Clifton L,  Clifton DA,  et al. (2023)
1567P The effect of SGLT2i and DPP4i on new-onset gastric cancer and gastric diseases in type 2 diabetes mellitus: A population-based cohort study
Chou HI,  Chauhan VK,  Lu L,  Chung CT,  Lee TTL,  Lee S,  Liu H,  Pang TKR,  Kaewdech A,  Cheung B,  Tse G,  Zhou J,  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)
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)
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)
Student Loss: Towards the Probability Assumption in Inaccurate Supervision.
Zhang S,  Li J-Q,  Fujita H,  Li Y-W,  Wang D-B,  Zhu T-T,  Zhang M-L,  Liu C-Y,  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)
Lightweight transformers for clinical natural language processing
Rohanian O,  Nouriborji M,  Jauncey H,  Kouchaki S,  Nooralahzadeh F,  Clifton L,  Merson L,  Clifton DA,  et al. (2024)
ProSelfLC: Progressive Self Label Correction for Training Robust Deep Neural Networks
Wang X,  Hua Y,  Kodirov E,  Clifton DA,  Robertson NM,  et al. (2020)
Predicting Atrial Fibrillation in Primary Care Using Machine Learning
Hill NR,  Ayoubkhani D,  McEwan P,  Sugrue DM,  Farooqui U,  Lister S,  Lumley M,  Bakhai A,  Cohen AT,  O’Neill M,  Clifton D,  Gordon J,  et al. (2018)
The digital patient
Bonnici T,  Tarassenko L,  Clifton DA,  Watkinson P,  et al. (2013)
FE-Adapter: Adapting Image-Based Emotion Classifiers to Videos
Gowda SN,  Gao B,  Clifton DA,  et al. (2024)