Genialis employs a novel approach to modeling disease biology, integrating wildly diverse data to uncover actionable insights.

Example questions we can address via data fusion

What biomarkers are the strongest indicators of tolerance or predictors of efficacy?
How should patients be stratified for future clinical trial?
What molecular markers suggest benefit from particular drug combinations?
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Advantages of our approach

Comprehensive

Merge heterogeneous data from experiments & trials, databases & ontologies.

Actionable

Validate confidently as accuracy goes up with more, orthogonal sources of information.

Versatile

Interrogate different biological relationships within the same disease model.

Understandable

Communicate results & iterate with domain experts without black boxes.

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References:

Jumping across biomedical contexts using compressive data fusion. Zitnik & Zupan, 2016
Collective pairwise classification for multi-way analysis of disease and drug data. Zitnik & Zupan, 2016
Gene prioritization by compressive data fusion and chaining. Zitnik, et al, 2015
A data fusion approach for disease association discovery, Zitnik et al, 2013