Medical data science & bioinformatics
Microbiome, surveillance, and patient-characteristic analyses for the prevention of surgical-site infections after abdominal surgery.
This line of work combines bioinformatics (microbiome profiling) with medical data science (national surveillance data) to identify preoperative factors that drive surgical-site infections after abdominal surgery, and to translate them into actionable risk stratification.
Selected publications
- Zwicky, S. N. et al. Preoperative enterosignatures predict surgical-site infections after abdominal surgery. Open Forum Infectious Diseases 12(9), ofaf549 (2025). doi:10.1093/ofid/ofaf549
- Peisl, S. et al. Noise in the operating room coincides with surgical difficulty. BJS Open 8(5), zrae098 (2024). doi:10.1093/bjsopen/zrae098
- Peisl, S. et al. Influence of patient characteristics on microbial composition in surgical-site infections: insights from a national surveillance study. British Journal of Surgery 111(6), znae138 (2024). doi:10.1093/bjs/znae138