Associate Professor Sally Shrapnel
Associate Professor

Sally Shrapnel

Email: 
Phone: 
+61 7 336 56931

Background

Dr Shrapnel is an Associate Professor in Physics and Deputy Director at the ARC Centre of Excellence for Engineered Quantum Systems, where she works on topics in Quantum Machine Learning and Quantum Foundations. She is also a registered medical practitioner with over 20 years experience and currently leads the Quantum Technologies for Health Program for the Queensland Digital Health Centre. Her research combines theory, methodology, and applications across a broad range of disciplines.

Availability

Associate Professor Sally Shrapnel is:
Available for supervision

Fields of research

Foundations of quantum mechanics Philosophy Philosophy and Religious Studies Philosophy of science (excl. history and philosophy of specific fields) Physical Sciences Quantum information, computation and communication Quantum physics Quantum technologies

Qualifications

  • Bachelor of Medical Science, The University of Queensland
  • Bachelor of Medicine and Surgery and Medical Science, The University of Queensland
  • Masters (Coursework) of Science, Imperial College
  • Doctor of Philosophy, The University of Queensland

Search Professor Sally Shrapnel’s works on UQ eSpace

51 works between 2014 and 2024
All (51) Journal Article (43) Book Chapter (1) Conference Publication (6) Other Outputs (1)

1 - 20 of 51 works

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 methods

Mesinovic, 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

At-admission prediction of mortality and pulmonary embolism in an international cohort of hospitalised patients with COVID-19 using statistical and machine learning methods

2024

Journal Article

Implementing AI in Hospitals to Achieve a Learning Health System: Systematic Review of Current Enablers and Barriers

Kamel 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

Implementing AI in Hospitals to Achieve a Learning Health System: Systematic Review of Current Enablers and Barriers

2024

Journal Article

Characteristics and outcomes of COVID-19 patients admitted to hospital with and without respiratory symptoms

Citarella, 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

Characteristics and outcomes of COVID-19 patients admitted to hospital with and without respiratory symptoms

2024

Conference Publication

Validation Of The Extended Kdigo Definition To Diagnose Acute Kidney Injury In A General Hospital Population Using The Mimic-IV Dataset

Wainstein, 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

Validation Of The Extended Kdigo Definition To Diagnose Acute Kidney Injury In A General Hospital Population Using The Mimic-IV Dataset

2024

Journal Article

Quantum kernel evaluation via Hong-Ou-Mandel interference

Bowie, 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

Quantum kernel evaluation via Hong-Ou-Mandel interference

2024

Book Chapter

Artificial intelligence for diabetes in the hospital

Sly, 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

Artificial intelligence for diabetes in the hospital

2023

Conference Publication

A Systematic Review of Externally Validated Machine Learning Models for Predicting AKI in General Hospital Patients

Wainstein, 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

A Systematic Review of Externally Validated Machine Learning Models for Predicting AKI in General Hospital Patients

2023

Journal Article

Machine learning clinical prediction models for acute kidney injury: the impact of baseline creatinine on prediction efficacy

Kamel 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

Machine learning clinical prediction models for acute kidney injury: the impact of baseline creatinine on prediction efficacy

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 study

Reyes, 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. doi: 10.1016/j.jcrc.2023.154318

Major adverse cardiovascular events (MACE) in patients with severe COVID-19 registered in the ISARIC WHO clinical characterization protocol: A prospective, multinational, observational study

2023

Journal Article

A multi-country analysis of COVID-19 hospitalizations by vaccination status

Gonçalves, 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

A multi-country analysis of COVID-19 hospitalizations by vaccination status

2023

Journal Article

Validation of extracorporeal membrane oxygenation mortality prediction and severity of illness scores in an international COVID-19 cohort

Shah, Neel, Xue, Bing, Xu, Ziqi, Yang, Hanqing, Marwali, Eva, Dalton, Heidi, Payne, Philip P. R., Lu, Chenyang, Said, Ahmed S., Abdukahil, Sheryl Ann, Abdulkadir, Nurul Najmee, Absil, Lara, Acker, Andrew, Adrião, Diana, Hssain, Ali Ait, Akwani, Chika, Al Qasim, Eman, Alalqam, Razi, Al-dabbous, Tala, Alex, Beatrice, Al-Fares, Abdulrahman, Alfoudri, Huda, Aliudin, Jeffrey, Alves, João, Alves, Rita, Alves, João Melo, Cabrita, Joana Alves, Amaral, Maria, Amira, Nur ... ISARIC Clinical Characterisation Group (2023). Validation of extracorporeal membrane oxygenation mortality prediction and severity of illness scores in an international COVID-19 cohort. Artificial Organs, 47 (9), 1490-1502. doi: 10.1111/aor.14542

Validation of extracorporeal membrane oxygenation mortality prediction and severity of illness scores in an international COVID-19 cohort

2023

Journal Article

Liver injury in hospitalized patients with COVID-19: An International observational cohort study

Vijayaraghavan, Bharath Kumar Tirupakuzhi, Bishnu, Saptarshi, Baruch, Joaquin, Citarella, Barbara Wanjiru, Kartsonaki, Christiana, Meeyai, Aronrag, Mohamed, Zubair, Ohshimo, Shinichiro, Lefèvre, Benjamin, Al-Fares, Abdulrahman, Calvache, Jose A., Taccone, Fabio Silvio, Olliaro, Piero, Merson, Laura, Adhikari, Neill K.J., Abdukahil, Sheryl Ann, Abdulkadir, Nurul Najmee, Abe, Ryuzo, Abel, Laurent, Abrous, Amal, Absil, Lara, Acker, Andrew, Adam, Elisabeth, Adrião, Diana, Al Ageel, Saleh, Ainscough, Kate, Hssain, Ali Ait, Tamlihat, Younes Ait, Akimoto, Takako ... the ISARIC Clinical Characterisation Group (2023). Liver injury in hospitalized patients with COVID-19: An International observational cohort study. PLoS One, 18 (9 September) e0277859, 1-17. doi: 10.1371/journal.pone.0277859

Liver injury in hospitalized patients with COVID-19: An International observational cohort study

2023

Journal Article

Physical grounds for causal perspectivalism

Milburn, Gerard J., Shrapnel, Sally and Evans, Peter W. (2023). Physical grounds for causal perspectivalism. Entropy, 25 (8) 1190, 1-24. doi: 10.3390/e25081190

Physical grounds for causal perspectivalism

2023

Journal Article

Systematic review of externally validated machine learning models for predicting acute kidney injury in general hospital patients

Wainstein, Marina, Flanagan, Emily, Johnson, David W. and Shrapnel, Sally (2023). Systematic review of externally validated machine learning models for predicting acute kidney injury in general hospital patients. Frontiers in Nephrology, 3 1220214, 1-9. doi: 10.3389/fneph.2023.1220214

Systematic review of externally validated machine learning models for predicting acute kidney injury in general hospital patients

2023

Journal Article

Association of country income level with the characteristics and outcomes of critically ill patients hospitalized with acute kidney injury and COVID-19

Wainstein, Marina, Spyrison, Nicholas, Dai, Danyang, Ghadimi, Moji, Chavez-Iniquez, Jonathan Samuel, Rizo Topete, Lilia María, Citarella, Barbara Wanjiru, Merson, Laura, Pole, Jason, Claure-Del Granado, Rolando, Johnson, David W., Shrapnel, Sally, Abdukahil, heryl Ann, Abdulkadir, Nurul Najmee, Abe, Ryuzo, Abel, Laurent, Abrous, Amal, Absil, Lara, Acker, Andrew, Adachi, Shingo, Adrião, Diana, Al Ageel, Saleh, Ahmed, Shakeel, Ainscough, Kate, Airlangga, Eka, Aisa, Tharwat, Hssain, Ali Ait, Tamlihat, Younes Ait, Akimoto, Takako ... ISARIC Characterization Group (2023). Association of country income level with the characteristics and outcomes of critically ill patients hospitalized with acute kidney injury and COVID-19. Kidney International Reports, 8 (8), 1514-1530. doi: 10.1016/j.ekir.2023.05.015

Association of country income level with the characteristics and outcomes of critically ill patients hospitalized with acute kidney injury and COVID-19

2023

Journal Article

Characteristics and outcomes of an international cohort of 600 000 hospitalized patients with COVID-19

Kartsonaki, Christiana, Baillie, J Kenneth, Barrio, Noelia García, Baruch, Joaquín, Beane, Abigail, Blumberg, Lucille, Bozza, Fernando, Broadley, Tessa, Burrell, Aidan, Carson, Gail, Citarella, Barbara Wanjiru, Dagens, Andrew, Dankwa, Emmanuelle A, Donnelly, Christl A, Dunning, Jake, Elotmani, Loubna, Escher, Martina, Farshait, Nataly, Goffard, Jean-Christophe, Gonçalves, Bronner P, Hall, Matthew, Hashmi, Madiha, Sim Lim Heng, Benedict, Ho, Antonia, Jassat, Waasila, Pedrera Jiménez, Miguel, Laouenan, Cedric, Lissauer, Samantha, Martin-Loeches, Ignacio ... ISARIC Clinical Characterisation Group (2023). Characteristics and outcomes of an international cohort of 600 000 hospitalized patients with COVID-19. International Journal of Epidemiology, 52 (2), 355-376. doi: 10.1093/ije/dyad012

Characteristics and outcomes of an international cohort of 600 000 hospitalized patients with COVID-19

2022

Journal Article

Symptom-based case definitions for COVID-19: Time and geographical variations for detection at hospital admission among 260,000 patients

Baruch, Joaquin, Rojek, Amanda, Kartsonaki, Christiana, Vijayaraghavan, Bharath K. T., Gonçalves, Bronner P., Pritchard, Mark G., Merson, Laura, Dunning, Jake, Hall, Matthew, Sigfrid, Louise, Citarella, Barbara W., Murthy, Srinivas, Yeabah, Trokon O., Olliaro, Piero, Abbas, Ali, Abdukahil, Sheryl Ann, Abdulkadir, Nurul Najmee, Abe, Ryuzo, Abel, Laurent, Absil, Lara, Acharya, Subhash, Acker, Andrew, Adam, Elisabeth, Adrião, Diana, Al Ageel, Saleh, Ahmed, Shakeel, Ainscough, Kate, Airlangga, Eka, Aisa, Tharwat ... Zucman, David (2022). Symptom-based case definitions for COVID-19: Time and geographical variations for detection at hospital admission among 260,000 patients. Influenza and other Respiratory Viruses, 16 (6), 1040-1050. doi: 10.1111/irv.13039

Symptom-based case definitions for COVID-19: Time and geographical variations for detection at hospital admission among 260,000 patients

2022

Conference Publication

Validation of UCSD-Mayo Risk Score for Predicting Hospital-Acquired AKI in COVID-19 Patients

Granado, Rolando Claure-Del, Barbosa, Nicholas Y., Wainstein, Marina, Shrapnel, Sally and ISARIC Clinical Characterization Group (2022). Validation of UCSD-Mayo Risk Score for Predicting Hospital-Acquired AKI in COVID-19 Patients. Kidney Week, Orlando, FL United States, 3-6 November 2022. Washington, DC United States: American Society of Nephrology. doi: 10.1681/asn.20223311s1334c

Validation of UCSD-Mayo Risk Score for Predicting Hospital-Acquired AKI in COVID-19 Patients

2022

Journal Article

An international observational study to assess the impact of the Omicron variant emergence on the clinical epidemiology of COVID-19 in hospitalised patients

Gonçalves, Bronner P, Hall, Matthew, Jassat, Waasila, Balan, Valeria, Murthy, Srinivas, Kartsonaki, Christiana, Semple, Malcolm G, Rojek, Amanda, Baruch, Joaquín, Reyes, Luis Felipe, Dasgupta, Abhishek, Dunning, Jake, Citarella, Barbara Wanjiru, Pritchard, Mark, Martín-Quiros, Alejandro, Sili, Uluhan, Baillie, J Kenneth, Aryal, Diptesh, Arabi, Yaseen, Rashan, Aasiyah, Angheben, Andrea, Caoili, Janice, Carrier, François Martin, Harrison, Ewen M, Gómez-Junyent, Joan, Figueiredo-Mello, Claudia, Douglas, James Joshua, Mat Nor, Mohd Basri, Chow, Yock Ping ... Suen, Jacky Y. (2022). An international observational study to assess the impact of the Omicron variant emergence on the clinical epidemiology of COVID-19 in hospitalised patients. eLife, 11 ARTN e80556. doi: 10.7554/eLife.80556

An international observational study to assess the impact of the Omicron variant emergence on the clinical epidemiology of COVID-19 in hospitalised patients

2022

Journal Article

Respiratory support in patients with severe COVID-19 in the International Severe Acute Respiratory and Emerging Infection (ISARIC) COVID-19 study: a prospective, multinational, observational study

Reyes, Luis Felipe, Murthy, Srinivas, Garcia-Gallo, Esteban, Merson, Laura, Ibáñez-Prada, Elsa D., Rello, Jordi, Fuentes, Yuli V., Martin-Loeches, Ignacio, Bozza, Fernando, Duque, Sara, Taccone, Fabio S., Fowler, Robert A., Kartsonaki, Christiana, Gonçalves, Bronner P., Citarella, Barbara Wanjiru, Aryal, Diptesh, Burhan, Erlina, Cummings, Matthew J., Delmas, Christelle, Diaz, Rodrigo, Figueiredo-Mello, Claudia, Hashmi, Madiha, Panda, Prasan Kumar, Jiménez, Miguel Pedrera, Rincon, Diego Fernando Bautista, Thomson, David, Nichol, Alistair, Marshall, John C., Olliaro, Piero L. ... Suen, Jacky Y. (2022). Respiratory support in patients with severe COVID-19 in the International Severe Acute Respiratory and Emerging Infection (ISARIC) COVID-19 study: a prospective, multinational, observational study. Critical Care, 26 (1) 276. doi: 10.1186/s13054-022-04155-1

Respiratory support in patients with severe COVID-19 in the International Severe Acute Respiratory and Emerging Infection (ISARIC) COVID-19 study: a prospective, multinational, observational study

Current funding

  • 2020 - 2025
    Enhanced data extraction and modelling from electronic medical records and phenotyping for clinical care, and research: Case studies in management of medication stewardship
    Digital Health CRC
    Open grant
  • 2020 - 2024
    Information as fuel for a quantum clock (Foundational Questions Institute grant administered by TUQIA)
    Foundational Questions Institute
    Open grant
  • 2018 - 2025
    ARC Centre of Excellence for Engineered Quantum Systems (EQuS2)
    ARC Centres of Excellence
    Open grant

Past funding

  • 2022 - 2023
    SMART Project - Towards Systematic Maturation of Analytics and System Redesign to Transform (SMART) Healthcare and Public Health Research
    Queensland Health
    Open grant
  • 2021 - 2023
    Machine learning prediction of Acute Kidney Injury in hospitalised patients with COVID-19
    Digital Health CRC
    Open grant
  • 2021 - 2022
    Causal Bayesian Networks for COVID
    Monash University
    Open grant
  • 2019 - 2021
    'Are Quantum agents possible?' by Silicon Valley Community Foundation
    The University of Queensland in America, Inc
    Open grant

Availability

Associate Professor Sally Shrapnel is:
Available for supervision

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Supervision history

Current supervision

Completed supervision

Enquiries

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