At twoXAR we bring together a lot of disparate data to rapidly identify disease treatments. It’s through these different data that we gain our predictive power. However, more data isn’t always better — not if the new data is of poor quality. In other words, quantity doesn’t trump quality, and that’s because of a common data science saying: bad data in = bad data out.

Today we announced our collaboration with Santen, a world leader in the development of innovative ophthalmology treatments. Scientists at twoXAR will use our proprietary computational drug discovery platform to discover, screen and prioritize novel drug candidates with potential application in glaucoma. Santen will then develop and commercialize drug candidates arising from the collaboration. This collaboration is an exciting example of how artificial intelligence-driven approaches can move beyond supporting existing hypotheses and lead the discovery of new drugs.

Our focus is on drug development — and being one of the few biopharma companies to be included in the list, we use AI in a unique way. Where others may be using AI as the sole ingredient to enhance their respective industries, we are using it alongside a complex toolbox of data processing methods whose sum is greater than its parts.