High-quality data is the first step for training Machine-Learning (ML) and Artificial Intelligence (AI) algorithms, but obtaining this information is difficult as most knowledge about drugs exists within scientific publications in an unstructured text format.

This is where DrugBank comes in. Drugbank’s data solutions solve this problem by providing detailed, machine-readable information that lets customers explore AI strategies for drug discovery, development, and repurposing and incorporate extensive scientific knowledge to make their customer’s models more powerful.

DrugBank interviewed Richard Smith, Senior Software Developer at Healx, an AI-powered biotech company from Cambridge (UK), to illustrate how a company might utilize DrugBank data in their products...

View the full case study here.