Researchers have developed a machine-learning 'aging clock' that measures brain cell biological age using gene expression data. The tool identified 453 compounds with rejuvenating potential, three of which improved cognition and reversed molecular aging markers in mice. This breakthrough offers a systematic approach to developing neuroprotective therapies for age-related disorders.