Sirma AI (Ontotext) ExaMode Webinar

Sirma AI (Ontotext)  will deliver a webinar for Examode through BDVA.

The webinar, scheduled on the 2nd of July 2020, 2 PM CEST, is free but for the live session is required a registration.

The webinar will be recorded and will be available as a free video for those who are unable to attend the live session.

The agenda of the webinar includes:

  1. Objectives of the ExaMode project
  2. Knowledge management of diagnosis-related medical data using advanced text analytical technologies and knowledge graphs.
  3. Demonstration of services:
    • Advanced text analytics for semantic data normalization of Electronic Health Record (EHR) extracts – clinical synopsis
    • Semantic data fusion of extracted results with a referential knowledge graph built from relevant ontologies and thesauri (Mondo Disease Ontology, Disease Ontology, UMLS, SNOMED-CT, and others)
    • Visual graph analytics and exploration of semantically normalized cases in the context of the referential knowledge graph
    • Graph similarity search for the identification of similar medical cases
    The solution is implemented on top of Ontotext’s GraphDB, a highly scalable RDF triple store.
  4. Discussion

“Using multitask learning to improve image classification for histopathology” blog posted on Facebook AI research

Read here the Facebook AI Research (FAIR) blog post on the collaboration between Radboud University Medical Center (Nijmegen, Netherlands), FAIR (Montreal, Canada) and Erasmus Medical Center (Rotterdam, Netherlands) on histopathology whole-slide image classification using whole-slide image compression with Neural Image Compression and Multitask learning, with application to prediction of a genetic score in breast cancer and patient outcome in colorectal cancer metastasis to the liver.

The work is related to the paper “Extending Unsupervised Neural Image Compression With Supervised Multitask Learning“.

The fourth ExaMode meeting

The fourth ExaMode meeting was held on Zoom due to the COVID19 emergency, 4-5th of June 2020.

We are in the 18th month of the project. Over 80% of the tasks have already started. We completed 5 out of 10 milestones. By the end of June, we’ll have 24 out of 49 deliverables ready. So far, the project resulted in 27 scientific papers accepted, and another 9 are currently being evaluated.