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Collaborations and top research areas from the last five years
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Considerations for Building a Data Science Culture for the Clinical Laboratory
McFadden, B. R., Mar 2025, In: Journal of Applied Laboratory Medicine. 10, 2, p. 505-509 5 p.Research output: Contribution to journal › Editorial › peer-review
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ESCMID workshop: Artificial intelligence and machine learning in medical microbiology diagnostics
Greutmann, M., Borgwardt, K., Brüningk, S., Franzeck, F., Giske, C. G., Green, A. G., Guerrero-López, A., Ip, M., Jutzeler, C., Kahles, A., Krauthammer, M., Macesic, N., McFadden, B., Meijer, E., Moore, N., Moran-Gilad, J., Lboukili, I., Nolte, O., Patel, R. & Schneider, G. & 6 others, , Nov 2025, (E-pub ahead of print) In: Microbes and Infection. 105562.Research output: Contribution to journal › Conference article › peer-review
Open Access1 Link opens in a new tab Citation (Scopus) -
Predictive analytics for early detection of hospital-acquired complications: An artificial intelligence approach
Mukhtar, S. A., McFadden, B. R., Islam, M. T., Zhang, Q. Y., Alvandi, E., Blatchford, P., Maybury, S., Blakey, J., Yeoh, P. & McMullen, B. C., May 2025, In: Health Information Management Journal. 54, 2, p. 109-120 12 p.Research output: Contribution to journal › Article › peer-review
2 Link opens in a new tab Citations (Scopus) -
Sepsis in silico: definition, development and application of an electronic phenotype for sepsis
Al-Sultani, Z., Inglis, T. J. J., McFadden, B., Thomas, E. & Reynolds, M., 28 Mar 2025, (E-pub ahead of print) In: Journal of Medical Microbiology. 74, 3, p. 1-11 11 p., 001986.Research output: Contribution to journal › Article › peer-review
Open Access3 Link opens in a new tab Citations (Scopus) -
Developing machine learning systems worthy of trust for infection science: a requirement for future implementation into clinical practice
McFadden, B. R., Reynolds, M. & Inglis, T. J. J., 2023, In: Frontiers in Digital Health. 5, 1260602.Research output: Contribution to journal › Review article › peer-review
Open Access9 Link opens in a new tab Citations (Scopus)
Datasets
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Additional file 2 of Machine learning pipeline for blood culture outcome prediction using Sysmex XN-2000 blood sample results in Western Australia
McFadden, B. R. (Creator), Inglis, T. (Creator) & Reynolds, M. (Creator), Figshare, 14 Aug 2024
DOI: 10.6084/m9.figshare.26612528, https://springernature.figshare.com/articles/dataset/Additional_file_2_of_Machine_learning_pipeline_for_blood_culture_outcome_prediction_using_Sysmex_XN-2000_blood_sample_results_in_Western_Australia/26612528
Dataset
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Machine learning pipeline for blood culture outcome prediction using Sysmex XN-2000 blood sample results in Western Australia
McFadden, B. R. (Contributor), Inglis, T. J. J. (Contributor) & Reynolds, M. (Contributor), Figshare, 14 Aug 2024
DOI: 10.6084/m9.figshare.c.6804528
Dataset
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Additional file 2 of Machine learning pipeline for blood culture outcome prediction using Sysmex XN-2000 blood sample results in Western Australia
McFadden, B. R. (Creator), Inglis, T. (Creator) & Reynolds, M. (Creator), Figshare, 14 Aug 2024
DOI: 10.6084/m9.figshare.26612528.v1, https://springernature.figshare.com/articles/dataset/Additional_file_2_of_Machine_learning_pipeline_for_blood_culture_outcome_prediction_using_Sysmex_XN-2000_blood_sample_results_in_Western_Australia/26612528/1
Dataset
Projects
- 1 Active
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Validation and optimization of a machine learning pipeline for predicting blood culture outcomes using Sysmex blood sample results.
Inglis, T. (Investigator 01) & Mcfadden, B. (Investigator 02)
1/08/25 → 1/06/28
Project: Research