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

64 works between 2014 and 2025
All (64) Journal Article (49) Book Chapter (1) Conference Publication (8) Other Outputs (6)

21 - 40 of 64 works

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

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

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

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 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

2022

Journal Article

Neurological manifestations of COVID-19 in adults and children

Cho, Sung Min, White, Nicole, Premraj, Lavienraj, Battaglini, Denise, Fanning, Jonathon, Suen, Jacky, Bassi, Gianluigi Li, Fraser, John, Robba, Chiara, Griffee, Matthew, Singh, Bhagteshwar, Citarella, Barbara Wanjiru, Merson, Laura, Solomon, Tom, Thomson, David, ISARIC Clinical Characterisation Group, Forsyth, Simon and Shrapnel, Sally (2022). Neurological manifestations of COVID-19 in adults and children. Brain, 146 (4), 1648-1661. doi: 10.1093/brain/awac332

Neurological manifestations of COVID-19 in adults and children

2022

Journal Article

ISARIC-COVID-19 dataset: A prospective, standardized, global dataset of patients hospitalized with COVID-19

ISARIC Clinical Characterization Group, Garcia-Gallo, Esteban, Merson, Laura, Kennon, Kalynn, Kelly, Sadie, Wanjiru Citarella, Barbara, Vidali Fryer, Daniel, Shrapnel, Sally, Lee, James, Duque, Sara, Fuentes, Yuli V., Balan,Valeria, Smith, Sue, Wei, Jia, Gonçalves, Bronner P., Russell, Clark D., Sigfrid, Louise, Dagens, Andrew, Olliaro, Piero L., Baruch, Joaquin, Kartsonaki, Christiana, Dunning, Jake, Rojek, Amanda, Rashan, Aasiyah, Beane, Abi, Murthy, Srinivas, Reyes, Luis Felipe, Forsyth, Simon J. and Suen, Jacky Y. (2022). ISARIC-COVID-19 dataset: A prospective, standardized, global dataset of patients hospitalized with COVID-19. Scientific Data, 9 (1) 454, 454. doi: 10.1038/s41597-022-01534-9

ISARIC-COVID-19 dataset: A prospective, standardized, global dataset of patients hospitalized with COVID-19

2022

Journal Article

Machine learning models for diabetes management in acute care using electronic medical records: a systematic review

Kamel Rahimi, Amir, Canfell, Oliver J., Chan, Wilkin, Sly, Benjamin, Pole, Jason D., Sullivan, Clair and Shrapnel, Sally (2022). Machine learning models for diabetes management in acute care using electronic medical records: a systematic review. International Journal of Medical Informatics, 162 104758, 1-13. doi: 10.1016/j.ijmedinf.2022.104758

Machine learning models for diabetes management in acute care using electronic medical records: a systematic review

2022

Journal Article

Early short course of neuromuscular blocking agents in patients with COVID-19 ARDS: a propensity score analysis

Li Bassi, Gianluigi, Gibbons, Kristen, Suen, Jacky Y., Dalton, Heidi J., White, Nicole, Corley, Amanda, Shrapnel, Sally, Hinton, Samuel, Forsyth, Simon, Laffey, John G., Fan, Eddy, Fanning, Jonathon P., Panigada, Mauro, Bartlett, Robert, Brodie, Daniel, Burrell, Aidan, Chiumello, Davide, Elhazmi, Alyaa, Esperatti, Mariano, Grasselli, Giacomo, Hodgson, Carol, Ichiba, Shingo, Luna, Carlos, Marwali, Eva, Merson, Laura, Murthy, Srinivas, Nichol, Alistair, Ogino, Mark, Pelosi, Paolo ... The COVID-19 Critical Care Consortium (2022). Early short course of neuromuscular blocking agents in patients with COVID-19 ARDS: a propensity score analysis. Critical Care, 26 (1) 141, 141. doi: 10.1186/s13054-022-03983-5

Early short course of neuromuscular blocking agents in patients with COVID-19 ARDS: a propensity score analysis

2022

Journal Article

Use of an extended KDIGO definition to diagnose acute kidney injury in patients with COVID-19: a multinational study using the ISARIC–WHO clinical characterisation protocol

Wainstein, Marina, MacDonald, Samual, Fryer, Daniel, Young, Kyle, Balan, Valeria, Begum, Husna, Burrell, Aidan, Citarella, Barbara Wanjiru, Cobb, J. Perren, Kelly, Sadie, Kennon, Kalynn, Lee, James, Merson, Laura, Murthy, Srinivas, Nichol, Alistair, Semple, Malcolm G., Strudwick, Samantha, Webb, Steven A., Rossignol, Patrick, Claure-Del Granado, Rolando, Shrapnel, Sally and the ISARIC Clinical Characterisation Group (2022). Use of an extended KDIGO definition to diagnose acute kidney injury in patients with COVID-19: a multinational study using the ISARIC–WHO clinical characterisation protocol. PLoS Medicine, 19 (4) e1003969, e1003969. doi: 10.1371/journal.pmed.1003969

Use of an extended KDIGO definition to diagnose acute kidney injury in patients with COVID-19: a multinational study using the ISARIC–WHO clinical characterisation protocol

2022

Journal Article

Entropy production and fluctuation theorems in a continuously monitored optical cavity at zero temperature

Kewming, Michael J. and Shrapnel, Sally (2022). Entropy production and fluctuation theorems in a continuously monitored optical cavity at zero temperature. Quantum, 6 685, 685. doi: 10.22331/q-2022-04-13-685

Entropy production and fluctuation theorems in a continuously monitored optical cavity at zero temperature

2022

Journal Article

Toward a learning health care system: a systematic review and evidence-based conceptual framework for implementation of clinical analytics in a digital hospital

Lim, Han Chang, Austin, Jodie A., van der Vegt, Anton H., Rahimi, Amir Kamel, Canfell, Oliver J., Mifsud, Jayden, Pole, Jason D., Barras, Michael A., Hodgson, Tobias, Shrapnel, Sally and Sullivan, Clair M. (2022). Toward a learning health care system: a systematic review and evidence-based conceptual framework for implementation of clinical analytics in a digital hospital. Applied Clinical Informatics, 13 (02), 339-354. doi: 10.1055/s-0042-1743243

Toward a learning health care system: a systematic review and evidence-based conceptual framework for implementation of clinical analytics in a digital hospital

2022

Journal Article

Clinical characteristics, risk factors and outcomes in patients with severe COVID-19 registered in the International Severe Acute Respiratory and Emerging Infection Consortium WHO clinical characterisation protocol: a prospective, multinational, multicentre, observational study

Reyes, Luis Felipe, Murthy, Srinivas, Garcia-Gallo, Esteban, Irvine, Mike, Merson, Laura, Martin-Loeches, Ignacio, Rello, Jordi, Taccone, Fabio S, Fowler, Robert A, Docherty, Annemarie B, Kartsonaki, Christiana, Aragao, Irene, Barrett, Peter W, Beane, Abigail, Burrell, Aidan, Cheng, Matthew Pellan, Christian, Michael D, Cidade, Jose Pedro, Citarella, Barbara Wanjiru, Donnelly, Christl A, Fernandes, Susana M, French, Craig, Haniffa, Rashan, Harrison, Ewen M, Ho, Antonia Ying Wai, Joseph, Mark, Khan, Irfan, Kho, Michelle E, Kildal, Anders Benjamin ... Olliaro, Piero L (2022). Clinical characteristics, risk factors and outcomes in patients with severe COVID-19 registered in the International Severe Acute Respiratory and Emerging Infection Consortium WHO clinical characterisation protocol: a prospective, multinational, multicentre, observational study. ERJ Open Research, 8 (1) 00552-2021, 00552-2021. doi: 10.1183/23120541.00552-2021

Clinical characteristics, risk factors and outcomes in patients with severe COVID-19 registered in the International Severe Acute Respiratory and Emerging Infection Consortium WHO clinical characterisation protocol: a prospective, multinational, multicentre, observational study

2022

Conference Publication

Explainable deep learning for medical imaging models through class specific semantic dictionaries

Layton, Harrison, Shrapnel, Sally and Bialkowski, Alina (2022). Explainable deep learning for medical imaging models through class specific semantic dictionaries. International Conference on Digital Image Computing: Techniques and Applications (DICTA), Sydney, NSW, Australia, 30 November 2022 - 02 December 2022. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/DICTA56598.2022.10034639

Explainable deep learning for medical imaging models through class specific semantic dictionaries

2021

Journal Article

The value of open-source clinical science in pandemic response: lessons from ISARIC

Abbas, Ali, Abdukahil, Sheryl Ann, Abdulkadir, Nurul Najmee, Abe, Ryuzo, Abel, Laurent, Absil, Lara, Acharya, Subhash, Acker, Andrew, Adachi, Shingo, Adam, Elisabeth, Adrião, Diana, Ageel, Saleh Al, Ahmed, Shakeel, Ain, Quratul, Ainscough, Kate, Aisa, Tharwat, Ait Hssain, Ali, Ait Tamlihat, Younes, Akimoto, Takako, Akmal, Ernita, Al Qasim, Eman, Alalqam, Razi, Alam, Tanvir, Al-dabbous, Tala, Alegesan, Senthilkumar, Alegre, Cynthia, Alessi, Marta, Alex, Beatrice, Alexandre, Kévin ... ISARIC Clinical Characterisation Group (2021). The value of open-source clinical science in pandemic response: lessons from ISARIC. The Lancet Infectious Diseases, 21 (12), 1623-1624. doi: 10.1016/S1473-3099(21)00565-X

The value of open-source clinical science in pandemic response: lessons from ISARIC

2021

Journal Article

Ten months of temporal variation in the clinical journey of hospitalised patients with COVID-19: An observational cohort

ISARIC Clinical Characterisation Group, Hall, Matthew D., Baruch, Joaquín, Carson, Gail, Citarella, Barbara Wanjiru, Dagens, Andrew, Dankwa, Emmanuelle A., Donnelly, Christl A., Dunning, Jake, Escher, Martina, Kartsonaki, Christiana, Merson, Laura, Pritchard, Mark, Wei, Jia, Horby, Peter W., Rojek, Amanda, Olliaro, Piero L., Li Bassi, Gianluigi, Shrapnel, Sally, Suen, Jacky and Forsyth, Simon J. (2021). Ten months of temporal variation in the clinical journey of hospitalised patients with COVID-19: An observational cohort. eLife, 10 e70970, 1-30. doi: 10.7554/elife.70970

Ten months of temporal variation in the clinical journey of hospitalised patients with COVID-19: An observational cohort

2021

Journal Article

Assessment of 28-day in-hospital mortality in mechanically ventilated patients with coronavirus disease 2019: an international cohort study

Li Bassi, Gianluigi, Suen, Jacky Y., White, Nicole, Dalton, Heidi J., Fanning, Jonathon, Corley, Amanda, Shrapnel, Sally, Hinton, Samuel, Forsyth, Simon, Parsons, Rex, Laffey, John G., Fan, Eddy, Bartlett, Robert, Brodie, Daniel, Burrell, Aidan, Chiumello, Davide, Elhazmi, Alyaa, Grasselli, Giacomo, Hodgson, Carol, Ichiba, Shingo, Luna, Carlos, Marwali, Eva, Merson, Laura, Murthy, Srinivas, Nichol, Alistair, Panigada, Mauro, Pelosi, Paolo, Torres, Antoni, Ng, Pauline Yeung ... Obonyo, Nchafatso (2021). Assessment of 28-day in-hospital mortality in mechanically ventilated patients with coronavirus disease 2019: an international cohort study. Critical Care Explorations, 3 (11) e0567, e0567. doi: 10.1097/cce.0000000000000567

Assessment of 28-day in-hospital mortality in mechanically ventilated patients with coronavirus disease 2019: an international cohort study

Current funding

  • 2025 - 2027
    The View From Somewhere: embodied agents and the quantum perspective
    ARC Discovery Projects
    Open grant
  • 2025 - 2027
    Operationally robust quantum machine learning for digital health
    Quantum and Advanced Technologies Co-Investment Program
    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
  • 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
  • 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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