Here, an update on the MouseAGE project from the popular science press. This initiative aims to produce a viable biomarker of aging based on visual inspection of mouse faces. Since age-related mortality in humans correlates fairly well with apparent age of the face, and since machine learning techniques can be used to assess aging from photographs in an automated fashion, it seems reasonable to think that it might be possible to achieve a similar analysis in mice. If successful, it might by used to speed up the assessment of potential rejuvenation therapies, a faster alternative to running life span studies. Given the low cost of development, it is worth a try as an alternative approach to the epigenetic clock and other biomarkers of aging under development. The project was crowdfunded in 2017 and data collection began last year.
Vadim Gladyshev is asking lab scientists to whip out their smartphones and take photos. Not selfies, exactly, but snapshots of their lab mice. It’s a fiddly task, Gladyshev admits: mice move fast, and need to be kept still for the camera. He suggests grabbing them with one hand or taking them
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