ESCMID Workshop on Artificial Intelligence and Machine Learning in Medical Microbiology Diagnostics

I served as an instructor at this hybrid ESCMID workshop, which brought together more than 150 participants from medical microbiology, infectious diseases, and data science. The course combined expert lectures and practical sessions on applying artificial intelligence and machine learning to routine microbiological diagnostics.

I delivered a session on model selection for medical microbiology, covering how to frame a research question, assess different microbiological data modalities, choose between classical machine learning and deep learning, establish appropriate baselines, and account for interpretability in clinical applications.

My presentation and model-selection decision cheat sheet are freely available on Zenodo: Model selection in Artificial Intelligence for Medical Microbiology: workshop presentation and decision cheat sheet (CC BY-NC 4.0).

The course and its scientific conclusions are documented in our peer-reviewed meeting report, ESCMID workshop: Artificial intelligence and machine learning in medical microbiology diagnostics, published in Microbes and Infection.

See the official ESCMID workshop page for the course objectives, organisers, programme, and accreditation.