Extract Biomedical Knowledge from Multi-Modal Data Using Biovista Vizit

I have been working as the lead developer of this for sometime now and I hope some of you find it intriguing, and of course to find out what people think about it.

The main underlying motive behind this work is to unify all life-science knowledge currently sitting on isolated silos. So...

Biovista Vizit is a knowledge (force directed) graph exploration platform that integrates data from various heterogeneous biomedical resources. By overlaying structured biomedical datasets with literature evidence, Vizit empowers researchers to explore genes, diseases, pathways, and clinical outcomes through an intuitive interactive graph. For each connection, multi-modal supporting evidence is provided, linking back to the original biomedical corpus, like MEDLINE, Human Phenotype Ontology (HPO), Protein Data Bank (PDB), Adverse Outcome Pathway (AOP), and ClinicalTrials.gov.

A big effort in integrating these disparate data sources went into systematically handling the fragmentation problem created by multiple synonyms, typos and generally unstructured input text fields. We now have a procedure to integrate other public biomedical data sources (e.g. USPTO, FDA AERS) or private in house data into the system. Each one comes with its own challenges of course.

You can save and share your created graphs at any point by clicking on the "Save" button.

You can start exploring by clicking on the red "Start" circle.

Feedback and comments are welcome.