Computational biologist Christina Leslie discusses AI tools for decoding cell data

Leslie studies gene expression regulation

Christina Leslie leads a lab within the Sloan Kettering Institute that focuses on how genes are turned on and off in mammalian cells. Her team applies artificial intelligence methods to understand complex biological patterns found in immune systems and tumors. This approach helps researchers identify distinct roles for every cell type inside a tissue or cancer mass.

New tools handle massive datasets

Scientists now use single-cell genomics to probe gene activation in individual cells rather than looking at groups of cells together. The rise of AI allows finding meaningful patterns in these large data sets far beyond what traditional computational methods could achieve. These advances help researchers design better therapies and understand why some tumors resist standard treatment options.

Future work targets personalized care

The goal is to tailor medical treatments to each individual patient based on their unique cancer characteristics. Researchers hope these tools will decode the reasons behind treatment resistance in specific tumor environments. This frontier combines two technological revolutions to improve how doctors manage complex diseases like cancer.