The final version (v2.0) of the ExaMode ontology is available in Zenodo: https://zenodo.org/record/7669237 and the documentation is available here: http://examode.dei.unipd.it/ontology/
Semestrial meeting in Padua
🗓 Dates: 24-25/01/2023
Gianmaria Silvello invited speaker for the second Swetaly workshop on AI (16.09.2022) described ExaMode and the latest advancements of the project
The ExaMode results on “training computer-aided diagnosis models without human annotations” are on a spotlight on the Nature Health Portfolio!
“Unleashing the potential of digital pathology data by training computer-aided diagnosis models without human annotations” is out on Digital Medicine (gold open access).
A new digital terminology open access book
Digital terminology: design, representation and management
The ExaMode project sponsored the open access publication of the new book:〝 Terminologie numérique : conception, représentation et gestion 〞 authored by Federica Vezzani, PhD.
Training Biomedical Relation Extraction Models with a Limited amount of Annotated Data
Reducing the Costs to Extract Medical Knowledge
In this blog post we talk about the use of Biomedical Relation Extraction (BioRE) models to speed up and reduce the costs of populating curated databases. How can BioRE models be trained with limited amounts of annotated data? What advantages can such an approach provide? Are there any downsides?