Ireland
Publishing Reusable AI/ML Models in the Life Sciences (MAQC 2026 Technical Tutorial P06)
Slides and companion website for MAQC 2026 Technical Tutorial P06, "Publishing Reusable AI/ML Models in the Life Sciences", held on 23 September 2026 at LIGHT, University of Brescia, Italy, as part of the MAQC Society 2026 Annual Meeting.
The tutorial covers the DOME recommendations for reporting supervised machine learning in biology, the DOME Registry, DOME Copilot (LLM-assisted annotation), the Open and Sustainable AI (OSAI) recommendations, and agentic AI skills for DOME. A hands-on exercise takes participants through producing a DOME transparency report by one of three routes: manually with the DOME Wizard, with DOME Copilot, or with the DOME Agent Skill.
Companion site: https://gavinf97.github.io/dome-tutorial-maqc-2026/
Code base: https://github.com/gavinf97/dome-tutorial-maqc-2026
DOI: https://doi.org/10.5281/zenodo.22911342
Licence: Creative Commons Attribution 4.0 International
Contact: Gavin Farrell - [email protected]
Keywords: ML, AI (artificial intelligence)
Target audience: PhD students, Post Docs, Researchers and bioinformaticians in other projects interested in depositiong data at the EGA
Version: 2
Status: Active
Prerequisites:
Awareness of base: ML, FAIR, RDM & RSQ concepts & resources
Learning objectives:
Awareness of the importance of AI/ML best practices for sharing datasets & models
Awareness of DOME & OSAI reporting standards
Capability to report your AI/ML methods with the DOME Registry
Trial of an automated support - DOME Copilot & DOME Agent Skill
Date created: 2026-09-21
Date modified: 2026-09-23
Date published: 2026-09-23
Scientific topics: Machine learning
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