Computational approaches have revolutionized how we interpret data. With the advent of genomic sequencing, scientists can derive significant conclusions from sequence data. For example, through transcriptomics – the study of genes and their expression in different cells – researchers have made groundbreaking discoveries in fields like developmental and disease biology. More recently, computational approaches have expanded with the introduction of generative artificial intelligence (AI) and its ability to generate new insights from massive datasets, diverse in scope, which can be validated in the lab. In this episode, co-host Maria Wilson sits down with John Marioni, Senior Vice President and Head of Computational Sciences, to discuss how computational methods can complement other research techniques to expedite drug discovery, enhance clinical trials, and prevent biases, ensuring the development of medicines that can treat people of diverse backgrounds.

Read the full text transcript at www.gene.com/stories/merging-minds-and-machines-the-future-of-drug-discovery