Machine Learning &
Experimental Validation
Meet Elion:
The phenomics-driven drug discovery & development platform
Machine
Learning
Our patented Contingent AI™ understands relationships within the data to provide sophisticated insights from clinical data.
The Phenograph then links data sources and uses machine learning in Virtual Phenotypic Screening to predict novel gene targets.
Experimental
Validation
We leverage zebrafish phenotypic models to validate in silico predictions with in vivo experiments. Due to their high genetic similarity to humans, rapid development, and ease of genetic manipulation, zebrafish are an optimal translation model.
Scalable experimentation in 96-well plates and analysis by computer vision models allow us to generate high-content phenotypic readouts in vivo within days of gene manipulation.
Speed to Validation with Automation and Computer Vision
Similar to AI applications in digital pathology diagnostics that are now FDA approved, our Computer Vision models can rapidly identify morphological changes to organs, find alterations in blood flow, and quantify heart volume. .
Optical Flow models quantify blood flow dynamics in a zebrafish
Interested in Partnering?
We seek partners with a desire to transform drug discovery, to help advance our drug discovery programs or embark on new programs in cardiac, neurodegenerative and rare diseases.
We are highly collaborative experts in machine learning, data science and drug discovery. Let’s chat.