SMMILe, a machine learning algorithm, is able not only to correctly detect the presence of cancer cells on slides taken from biopsies and surgical sections, but it can predict where the tumor lesions are located and even the proportion of regions with different levels of aggressiveness.

The tool could be used in the future to guide a patient’s treatment, as well as help scientists better understand how cancer develops and identify new biological signatures to improve detection.