A computational model using large-scale gene-expression signatures across multiple tissues and four mammalian species can estimate age and predict mortality risk.
A study published in Nature introduces a computational model that uses large-scale gene-expression signatures common across multiple tissues and four mammalian species to estimate age and predict mortality risk.
The research, led by Tyshkovskiy et al., aims to accelerate testing of interventions intended to extend healthspan and lifespan in model organisms like rodents.
Co-author J.P. de Magalhães reports competing interests as chief science officer of YouthBio Therapeutics, adviser for BOLD Longevity Growth Fund and NOVOS, and founder of Magellan Science.