Poster Presentation

MIT 2020 AI for Drug Discovery Conference

Some of our high level learning was recently presented at the 2020 MIT AI for Drug Discovery conference in February.

Both target and phenotype driven drug discovery strategies rely on identifying relationships between specific drugs and targets of interest.  In this poster we present our automated way to integrate diverse data sets and develop machine learning models against specific protein targets.

BioSymetrics2020MITAIforDrugDiscovryConfPoster.jpg

Unfortunately the poster is WAY TOO BIG to share on this web site. If you complete the form, we'll send you a link where you can download the original file.

 
 
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MOA Analysis for Rare Cancer (Pre-Print - bioRxiv)

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White Paper - Using AI to Discover Target and MOA Prediction Using HCI Screen