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Cross-platform EHR/EMR software for the design, implementation and use of autonomous, open database models for multilingual clinical data management systems and the rapid application development of health IT products and services. Current version is using MSQL server and Access.

CLIRES-3 Clinical Study/Trial Research


Clinical Study/trials research application to track subjects and their medication, visits. Dynamic CRF. Admin tools and reports

Clinical Investigator Relationship Management Demo for xRM


The Clinical Investigator Relationship Management Demo for xRM is a CRM 2011 solution that demonstrates how CRM 2011 can be used to help manage active clinical trial recruitment and startup for a specific trial as well as proactively establishing an on-going relationship with ...

ci4cc-informatics-resources - Community-maintained list of resources that the CI4CC organization and the larger cancer informatics community have found useful or are developing


This is a community-maintained list of resources that the CI4CC organization and larger cancer informatics have found useful or are developing. Contributions welcome...

pcgr - Personal Cancer Genome Reporter (PCGR)

  •    R

The Personal Cancer Genome Reporter (PCGR) is a stand-alone software package for functional annotation and translation of individual cancer genomes for precision oncology. It interprets both somatic SNVs/InDels and copy number aberrations. The software extends basic gene and variant annotations from the Ensembl’s Variant Effect Predictor (VEP) with oncology-relevant, up-to-date annotations retrieved flexibly through vcfanno, and produces interactive HTML reports intended for clinical interpretation.

yarn - Disambiguating biomedical and clinical concepts with word embeddings

  •    Python

Yarn is a system for creating vectorial concept representations from an ontology containing descriptions of these concepts. These concept representations can then be used to disambiguate terms, and link them to the appropriate concept. For more information, see the paper Using Distributed Representations to Disambiguate Biomedical and Clinical Concepts by Stéphan Tulkens, Simon Šuster and Walter Daelemans, which was presented at the BioNLP Workshop at ACL 2016.

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