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With age, muscle stem cells have been reported to undergo a quiescence-to-senescence switch, thus reducing regenerative capacity. Here, using in vitro and mouse models, Guerrero et al. report that treatment with 3-deazaadenosine alleviates senescence and preserves the regenerative potential of muscle and hematopoietic stem cells.
The authors introduce a high-throughput machine-learning-based visual frailty index for mice that operates on video data from an open-field assay. The machine-vision-based approach extracts various morphometric and behavioral features from video to model frailty score and age.
Senescent cells are typically identified by a combination of senescence-associated markers, and the phenotype is heterogeneous. Here, using deep neural networks, Heckenbach et al. show that nuclear morphology can be used to predict cellular senescence in images of tissues and cell cultures.
Epigenetic clocks are widely used aging biomarkers, but their utility is limited by technical noise. The authors report a method for producing high-reliability clocks for applications such as longitudinal studies and intervention trials.
Age-related cataracts are characterized by clouding of the eye’s lens and cause vision impairment or loss. Here the authors develop a retinal photograph-based deep-leaning method to detect visually significant cataracts and report that it detects cataracts with similar accuracy to ophthalmologists.