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2025 Journal Article Omicron surge impact on acute kidney injury in ICU patients: a study using the ISARIC COVID-19 databaseDai, Danyang, Gois, Pedro Franca, Wainstein, Marina, Ghadimi, Moji, Spyrison, Nicholas, Granado, Rolando Claure-Del, Shrapnel, Sally, Pole, Jason D. and ISARIC Characterization Group (2025). Omicron surge impact on acute kidney injury in ICU patients: a study using the ISARIC COVID-19 database. PLoS One, 20 (11) e0336843, e0336843-11. doi: 10.1371/journal.pone.0336843 |
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2025 Journal Article Quantum algorithms for causal estimandsGoel, Rishi S., Myers, Casey R. and Shrapnel, Sally (2025). Quantum algorithms for causal estimands. Quantum Science and Technology, 11 (1) 015024, 1-22. doi: 10.1088/2058-9565/ae20b8 |
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2025 Journal Article Global geographic and socioeconomic disparities in COVID-associated acute kidney injury: a systematic review and meta-analysisDai, Danyang, Gois, Pedro Franca, Simpson, Digby, Hedfi, Souhayel, Shrapnel, Sally and Pole, Jason Donald (2025). Global geographic and socioeconomic disparities in COVID-associated acute kidney injury: a systematic review and meta-analysis. Journal of Global Health, 15 04166, 1-26. doi: 10.7189/jogh.15.04166 |
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2025 Journal Article A systematic review of quantum machine learning for digital healthGupta, Riddhi S., Wood, Carolyn E., Engstrom, Teyl, Pole, Jason D. and Shrapnel, Sally (2025). A systematic review of quantum machine learning for digital health. npj Digital Medicine, 8 (1) 237, 237-1. doi: 10.1038/s41746-025-01597-z |
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2025 Journal Article A de Finetti theorem for quantum causal structuresCosta, Fabio, Barrett, Jonathan and Shrapnel, Sally (2025). A de Finetti theorem for quantum causal structures. Quantum, 9 1628, 1-20. doi: 10.22331/q-2025-02-11-1628 |
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2024 Journal Article Quantum kernel machine learning with continuous variablesHenderson, Laura J., Goel, Rishi and Shrapnel, Sally (2024). Quantum kernel machine learning with continuous variables. Quantum, 8 1570. doi: 10.22331/q-2024-12-17-1570 |
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2024 Journal Article At-admission prediction of mortality and pulmonary embolism in an international cohort of hospitalised patients with COVID-19 using statistical and machine learning methodsMesinovic, Munib, Wong, Xin Ci, Rajahram, Giri Shan, Citarella, Barbara Wanjiru, Peariasamy, Kalaiarasu M., van Someren Greve, Frank, Olliaro, Piero, Merson, Laura, Clifton, Lei, Kartsonaki, Christiana, Abdukahil, Sheryl Ann, Abdulkadir, Nurul Najmee, Abe, Ryuzo, Abel, Laurent, Abrous, Amal, Absil, Lara, Acker, Andrew, Adachi, Shingo, Adam, Elisabeth, Adriano, Enrico, Adrião, Diana, Ageel, Saleh Al, Ahmed, Shakeel, Aiello, Marina, Ainscough, Kate, Airlangga, Eka, Aisa, Tharwat, Hssain, Ali Ait, Tamlihat, Younes Ait ... Zucman, David (2024). At-admission prediction of mortality and pulmonary embolism in an international cohort of hospitalised patients with COVID-19 using statistical and machine learning methods. Scientific Reports, 14 (1) 16387. doi: 10.1038/s41598-024-63212-7 |
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2024 Journal Article Lightweight transformers for clinical natural language processingRohanian, Omid, Nouriborji, Mohammadmahdi, Jauncey, Hannah, Kouchaki, Samaneh, Nooralahzadeh, Farhad, Clifton, Lei, Merson, Laura, Clifton, David A., Abbas, Ali, Abdukahil, Sheryl Ann, Abdulkadir, Nurul Najmee, Abe, Ryuzo, Abel, Laurent, Abrous, Amal, Absil, Lara, Jabal, Kamal Abu, Salah, Nashat Abu, Acharya, Subhash, Acker, Andrew, Adachi, Shingo, Adam, Elisabeth, Adewhajah, Francisca, Adriano, Enrico, Adrião, Diana, Al Ageel, Saleh, Ahmed, Shakeel, Aiello, Marina, Ainscough, Kate, Airlangga, Eka ... Zucman, David (2024). Lightweight transformers for clinical natural language processing. Natural Language Engineering, 30 (5), 887-914. doi: 10.1017/S1351324923000542 |
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2024 Journal Article Stepping down from mere appearance: modelling the ‘actuality’ of timeShrapnel, Sally, Evans, Peter W. and Milburn, Gerard J. (2024). Stepping down from mere appearance: modelling the ‘actuality’ of time. Australasian Philosophical Review, 8 (3), 278-284. doi: 10.1080/24740500.2023.2285008 |
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2024 Journal Article Implementing AI in Hospitals to Achieve a Learning Health System: Systematic Review of Current Enablers and BarriersKamel Rahimi, Amir, Pienaar, Oliver, Ghadimi, Moji, Canfell, Oliver J., Pole, Jason D., Shrapnel, Sally, van der Vegt, Anton H. and Sullivan, Clair (2024). Implementing AI in Hospitals to Achieve a Learning Health System: Systematic Review of Current Enablers and Barriers. Journal of Medical Internet Research, 26 e49655, 1-29. doi: 10.2196/49655 |
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2024 Journal Article Characteristics and outcomes of COVID-19 patients admitted to hospital with and without respiratory symptomsCitarella, Barbara Wanjiru, Kartsonaki, Christiana, Ibáñez-Prada, Elsa D., Gonçalves, Bronner P., Baruch, Joaquin, Escher, Martina, Pritchard, Mark G., Wei, Jia, Philippy, Fred, Dagens, Andrew, Hall, Matthew, Lee, James, Kutsogiannis, Demetrios James, Wils, Evert-Jan, Fernandes, Marília Andreia, Tirupakuzhi Vijayaraghavan, Bharath Kumar, Panda, Prasan Kumar, Martin-Loeches, Ignacio, Ohshimo, Shinichiro, Fatoni, Arie Zainul, Horby, Peter, Dunning, Jake, Rello, Jordi, Merson, Laura, Rojek, Amanda, Vaillant, Michel, Olliaro, Piero, Reyes, Luis Felipe, Moharam, S.A. ... Zucman, David (2024). Characteristics and outcomes of COVID-19 patients admitted to hospital with and without respiratory symptoms. Heliyon, 10 (10) e29591, e29591. doi: 10.1016/j.heliyon.2024.e29591 |
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2024 Conference Publication Validation Of The Extended Kdigo Definition To Diagnose Acute Kidney Injury In A General Hospital Population Using The Mimic-IV DatasetWainstein, Marina, Edward, Eleanor, Spyrison, Nicholas, Rahimi, Amir Kamel, Ghadimi, Moji, Johnson, David and Shrapnel, Sally (2024). Validation Of The Extended Kdigo Definition To Diagnose Acute Kidney Injury In A General Hospital Population Using The Mimic-IV Dataset. ISN World Congress of Nephrology (WCN) 2024, Buenos Aires, Argentina, 13-16 April 2024. New York, NY United States: Elsevier. doi: 10.1016/j.ekir.2024.02.537 |
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2024 Conference Publication Learning abstract physics with immersive Virtual Reality experiencesWegener, Margaret J., Zeppetzauer, Stefan, McIntyre, Timothy J., Debs, John, Neely, Tyler, Shrapnel, Sally, Ginges, Jacinda and Madden, David (2024). Learning abstract physics with immersive Virtual Reality experiences. Australian Institute of Physics Congress, Melbourne, VIC, Australia, 1-5 December 2024. |
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2024 Conference Publication The realities of virtual reality for learning scienceWegener, Margaret J., Zeppetzauer, Stefan, McIntyre, Timothy J., Madden, David S., Debs, John, Neely, Tyler, Shrapnel, Sally, Ginges, Jacinda and Romero, Jacquiline (2024). The realities of virtual reality for learning science. Australian Conference on Science and Mathematics Education, Canberra, ACT, Australia, 18-20 September 2024. |
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2024 Journal Article Quantum kernel evaluation via Hong-Ou-Mandel interferenceBowie, Cassandra, Shrapnel, Sally and Kewming, Michael (2024). Quantum kernel evaluation via Hong-Ou-Mandel interference. Quantum Science and Technology, 9 (1) 015001, 1-10. doi: 10.1088/2058-9565/acfba9 |
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2024 Book Chapter Artificial intelligence for diabetes in the hospitalSly, Benjamin P., Shrapnel, Sally and Sullivan, Clair M. (2024). Artificial intelligence for diabetes in the hospital. Diabetes digital health, telehealth, and artificial intelligence. (pp. 353-366) edited by David C. Klonoff, David Kerr and Juan C. Espinoza. London, United Kingdom: Elsevier. doi: 10.1016/b978-0-443-13244-5.00021-3 |
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2023 Conference Publication A Systematic Review of Externally Validated Machine Learning Models for Predicting AKI in General Hospital PatientsWainstein, Marina, Flanagan, Emily K., Johnson, David W. and Shrapnel, Sally (2023). A Systematic Review of Externally Validated Machine Learning Models for Predicting AKI in General Hospital Patients. Kidney Week, Philadelphia, PA United States, 1-5 November 2023. Philadelphia, PA United States: Lippincott Williams & Wilkins. doi: 10.1681/asn.20233411s11066a |
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2023 Journal Article Machine learning clinical prediction models for acute kidney injury: the impact of baseline creatinine on prediction efficacyKamel Rahimi, Amir, Ghadimi, Moji, van der Vegt, Anton H., Canfell, Oliver J., Pole, Jason D., Sullivan, Clair and Shrapnel, Sally (2023). Machine learning clinical prediction models for acute kidney injury: the impact of baseline creatinine on prediction efficacy. BMC Medical Informatics and Decision Making, 23 (1) 207, 1-14. doi: 10.1186/s12911-023-02306-0 |
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2023 Journal Article Major adverse cardiovascular events (MACE) in patients with severe COVID-19 registered in the ISARIC WHO clinical characterization protocol: a prospective, multinational, observational studyReyes, Luis Felipe, Garcia-Gallo, Esteban, Murthy, Srinivas, Fuentes, Yuli V., Serrano, Cristian C., Ibáñez-Prada, Elsa D., Lee, James, Rojek, Amanda, Citarella, Barbara Wanjiru, Gonçalves, Bronner P., Dunning, Jake, Rätsep, Indrek, Viñan-Garces, Andre Emilio, Kartsonaki, Christiana, Rello, Jordi, Martin-Loeches, Ignacio, Shankar-Hari, Manu, Olliaro, Piero L., Merson, Laura, Abbas, Ali, Abdukahil, Sheryl Ann, Abdulkadir, Nurul Najmee, Abe, Ryuzo, Abebrese, Franklina Korkor, Abel, Laurent, Abrous, Amal, Absil, Lara, Acharya, Subhash, Acker, Andrew ... Zucman, David (2023). Major adverse cardiovascular events (MACE) in patients with severe COVID-19 registered in the ISARIC WHO clinical characterization protocol: a prospective, multinational, observational study. Journal of Critical Care, 77 154318, 1-13. doi: 10.1016/j.jcrc.2023.154318 |
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2023 Journal Article A multi-country analysis of COVID-19 hospitalizations by vaccination statusGonçalves, Bronner P., Jassat, Waasila, Baruch, Joaquín, Hashmi, Madiha, Rojek, Amanda, Dasgupta, Abhishek, Martin-Loeches, Ignacio, Reyes, Luis Felipe, Piubelli, Chiara, Citarella, Barbara Wanjiru, Kartsonaki, Christiana, Lefèvre, Benjamin, López Revilla, José W., Lunn, Miles, Harrison, Ewen M., Kraemer, Moritz U. G., Shrapnel, Sally, Horby, Peter, Bisoffi, Zeno, Olliaro, Piero L, Merson, Laura, ISARIC Clinical Characterisation Group and Ghadimi, Moji (2023). A multi-country analysis of COVID-19 hospitalizations by vaccination status. Med, 4 (11), 797-812.e2. doi: 10.1016/j.medj.2023.08.005 |
