The inability to unequivocally identify senescent cancer cells is hindering the development of novel anticancer therapies using senolytic compounds. In a recent study in Cell Reports, Jochems et al. used a machine-learning approach to generate a classifier for senescent cancer cells based on transcriptional signatures.
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