AI in Drug Discovery

Artificial intelligence (AI) is a broad and evolving scientific field, and the value it can deliver at various stages of the drug discovery process is now widely accepted in the pharmaceutical industry. This blog seeks to demystify the application of AI in drug discovery, focusing on its key challenges, opportunities and successes. Over one million scientific articles are published every year in the biomedical domain alone, and every new year brings new methods for data collection and more detailed data modalities. While scientists have access to an exponentially increasing amount of knowledge and data, biological data is messy and incomplete; it may contain conflicting or contradicting evidence, suppositions, biases, uncertainty, gaps in knowledge or misclassifications. This prevents us from understanding the full biology landscape and complicates decision making.