This workshop addresses the growing importance of machine learning (ML) in enhancing diagnostic accuracy and efficiency in the field of molecular diagnostics. With advancements in technology and bioinformatics, ML has become a crucial tool in interpreting complex biological data. However, practical applications in routine diagnostics remain underutilized. This training aims to bridge the gap between theoretical ML models and their real-world applications in clinical settings.
Intended audience:
Interested medical microbiologists or infectious diseases experts (with some data handling experience) and data scientists (with microbiological knowledge) at different levels junior to senior.
Objectives:
Course coordinator:
Adrian Egli
University of Zurich
Switzerland
Organisers:
ESGMD - Genomic and Molecular Diagnostic
Swiss Society for Microbiology (SSM)
Accreditation:
The ESCMID Education team will apply for accreditation to the European Accreditation Council for Continuing Medical Education (EACCME®).
Each participant can only receive the number of credits according to actual participation in the event and upon completion of the feedback survey.
Certification:
Course organisers will monitor attendance. Only participants attending live sessions will be able to receive the certification.
Course Venue:
Building AFL, Room AFL-F-121
Affolternstrasse 56, 8050 Zürich
Switzerland
Accommodation:
Accommodation is not Included on the registration fee.
Attendance Grant application
Attendance grant application is closed.
The registration fee includes access to the full course and planned activities.
The ESCMID Attendance Grant does not cover travel and accommodation expenses.