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Year Number of Results
2011 1
2012 1
2013 9
2014 4
2015 8
2016 8
2017 5
2018 14
2019 16
2020 9
2021 18
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2023 24
2024 34

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162 results

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Page 1
Bedaquiline and clofazimine resistance in Mycobacterium tuberculosis: an in-vitro and in-silico data analysis.
Sonnenkalb L, Carter JJ, Spitaleri A, Iqbal Z, Hunt M, Malone KM, Utpatel C, Cirillo DM, Rodrigues C, Nilgiriwala KS, Fowler PW, Merker M, Niemann S; Comprehensive Resistance Prediction for Tuberculosis: an International Consortium. Sonnenkalb L, et al. Lancet Microbe. 2023 May;4(5):e358-e368. doi: 10.1016/S2666-5247(23)00002-2. Epub 2023 Mar 29. Lancet Microbe. 2023. PMID: 37003285 Free PMC article.
The 2021 WHO catalogue of Mycobacterium tuberculosis complex mutations associated with drug resistance: A genotypic analysis.
Walker TM, Miotto P, Köser CU, Fowler PW, Knaggs J, Iqbal Z, Hunt M, Chindelevitch L, Farhat M, Cirillo DM, Comas I, Posey J, Omar SV, Peto TE, Suresh A, Uplekar S, Laurent S, Colman RE, Nathanson CM, Zignol M, Walker AS; CRyPTIC Consortium; Seq&Treat Consortium; Crook DW, Ismail N, Rodwell TC. Walker TM, et al. Lancet Microbe. 2022 Apr;3(4):e265-e273. doi: 10.1016/S2666-5247(21)00301-3. Lancet Microbe. 2022. PMID: 35373160 Free PMC article.
The 2023 wearable photoplethysmography roadmap.
Charlton PH, Allen J, Bailón R, Baker S, Behar JA, Chen F, Clifford GD, Clifton DA, Davies HJ, Ding C, Ding X, Dunn J, Elgendi M, Ferdoushi M, Franklin D, Gil E, Hassan MF, Hernesniemi J, Hu X, Ji N, Khan Y, Kontaxis S, Korhonen I, Kyriacou PA, Laguna P, Lázaro J, Lee C, Levy J, Li Y, Liu C, Liu J, Lu L, Mandic DP, Marozas V, Mejía-Mejía E, Mukkamala R, Nitzan M, Pereira T, Poon CCY, Ramella-Roman JC, Saarinen H, Shandhi MMH, Shin H, Stansby G, Tamura T, Vehkaoja A, Wang WK, Zhang YT, Zhao N, Zheng D, Zhu T. Charlton PH, et al. Among authors: clifton da. Physiol Meas. 2023 Nov 29;44(11):111001. doi: 10.1088/1361-6579/acead2. Physiol Meas. 2023. PMID: 37494945 Free PMC article. Review.
Machine Learning for Clinical Outcome Prediction.
Shamout F, Zhu T, Clifton DA. Shamout F, et al. Among authors: clifton da. IEEE Rev Biomed Eng. 2021;14:116-126. doi: 10.1109/RBME.2020.3007816. Epub 2021 Jan 22. IEEE Rev Biomed Eng. 2021. PMID: 32746368 Review.
Reporting guideline for the early-stage clinical evaluation of decision support systems driven by artificial intelligence: DECIDE-AI.
Vasey B, Nagendran M, Campbell B, Clifton DA, Collins GS, Denaxas S, Denniston AK, Faes L, Geerts B, Ibrahim M, Liu X, Mateen BA, Mathur P, McCradden MD, Morgan L, Ordish J, Rogers C, Saria S, Ting DSW, Watkinson P, Weber W, Wheatstone P, McCulloch P; DECIDE-AI expert group. Vasey B, et al. Among authors: clifton da. Nat Med. 2022 May;28(5):924-933. doi: 10.1038/s41591-022-01772-9. Epub 2022 May 18. Nat Med. 2022. PMID: 35585198 Review.
The digital patient.
Bonnici T, Tarassenko L, Clifton DA, Watkinson P. Bonnici T, et al. Among authors: clifton da. Clin Med (Lond). 2013 Jun;13(3):252-7. doi: 10.7861/clinmedicine.13-3-252. Clin Med (Lond). 2013. PMID: 23760698 Free PMC article.
Multimodal Learning With Transformers: A Survey.
Xu P, Zhu X, Clifton DA. Xu P, et al. Among authors: clifton da. IEEE Trans Pattern Anal Mach Intell. 2023 Oct;45(10):12113-12132. doi: 10.1109/TPAMI.2023.3275156. Epub 2023 Sep 5. IEEE Trans Pattern Anal Mach Intell. 2023. PMID: 37167049
Machine learning in patient flow: a review.
El-Bouri R, Taylor T, Youssef A, Zhu T, Clifton DA. El-Bouri R, et al. Among authors: clifton da. Prog Biomed Eng (Bristol). 2021 Apr;3(2):022002. doi: 10.1088/2516-1091/abddc5. Epub 2021 Feb 22. Prog Biomed Eng (Bristol). 2021. PMID: 34738074 Free PMC article. Review.
Smartwatch data help detect COVID-19.
Zhu T, Watkinson P, Clifton DA. Zhu T, et al. Among authors: clifton da. Nat Biomed Eng. 2020 Dec;4(12):1125-1127. doi: 10.1038/s41551-020-00659-9. Nat Biomed Eng. 2020. PMID: 33293722 No abstract available.
162 results