Synthetic data: how could it be used in infectious disease research?

Future Microbiol. 2024;19(17):1439-1444. doi: 10.1080/17460913.2024.2400853. Epub 2024 Sep 30.

¹ Department of Biology, National & Kapodistrian University of Athens, Athens, 15772, Greece.
² Institute of Applied Biosciences, Centre for Research & Technology Hellas, Thessaloniki, 57001, Greece.
³ ZB MED Information Centre for Life Sciences, Cologne, 50931, Germany.
⁴ Department of Human Genetics, Leiden University Medical Center, Leiden, 2333, The Netherlands.
⁵ Barcelona Supercomputing Center (BSC), Barcelona, E-08034, Spain.
⁶ SequenceAnalysis.co.uk, Norwich Research Park, Norwich, NR4 7UG, UK.
⁷ School of Biological Sciences, University of East Anglia, Norwich Research Park, Norwich, NR4 7TJ, UK.

No abstract available

Keywords: bacteria; deep learning; healthcare; infection; infectious disease; machine learning; microbiology; synthetic data.

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