Dr. Itai Yanai is Using the Data-Crunching Power of Machine-Learning to Advance Basic Medical Research

āThere are amazing discoveries to be made in new, large-scale data sets,ā says Dr. Itai Yanai. āItās become central to medicine.ā
Photo: Karsten Moran
Understanding how genes behave in different cells and tissue types throughout the body is breathtakingly complex, but itās critically important to advancing our basic understanding of human biology. While basic-science researchers have become adept at identifying gene activity among large clusters of cells, pinpointing activity within individual cells has always been elusive. That is, until Moana tackled the challenge.
Moana is a machine-learning program that can infer the gene behavior of a lone cell by churning through massive databases of gene-related data extracted from larger cell clusters. The system (named after the favorite movie character of the daughter of one of the programās developers) recently emerged from °µĶųTV Langoneās .
The instituteās goal is to focus the power of advanced computing on basic medical research thatās becoming ever more dependent on enormous sets of gene and other data. āThere are amazing discoveries to be made in new large-scale data sets,ā says , the instituteās inaugural director and professor of biochemistry and molecular pharmacology. āItās become central to medicine, even if you canāt see it walking through the hospital corridors.ā
Whereas researchers were previously limited to investigating the impact of a single gene at a time on disease or development, Dr. Yanaiās work has allowed sifting through whole strings of genes to pick out the most important patterns. āNot only can we look at all the genes,ā he says, ābut we can track them to an individual cell to see which particular genes are the most important.ā
Machine learning is increasingly important to advancing the field, insists Dr. Yanai. āItās becoming one of the keys to doing some of the most complex types of analysis on a ton of data,ā he says.
But heās also quick to point out that the biggest promise of artificial intelligence, or AI , in basic research is still floating out there in the future. āWhat weād like to do is integrate AI into the discovery process, but we donāt know how to do that yet,ā he says. āCan it figure out something new that we didnāt even know to look for? We donāt know yet if it can actually make novel discoveries.ā
For now, basic-research discoveries will have to be made the old-fashioned way, but programs like Moana can at least crunch through the mountains of data that those new discoveries will undoubtedly spawn.