Data Collection Opens Up for the MouseAge Project
If it is possible to use machine learning to assess human biological age from a photograph, can that same feat also be repeated for mice? It is reasonable to think that this will be a more challenging task, but the potential benefits are sizable. If a reasonably accurate assessment of biological age in mice could be as simple for a researcher as taking a few photographs, then the cost of exploratory research in aging and rejuvenation could be meaningfully reduced. With that eventual aim in mind, initial software development for the MouseAge project was crowdfunded last year at Lifespan.io. Now that an iOS application is available, data collection can begin.
An international team of longevity and deep learning experts working on the crowdfunded non-profit MouseAge project announce the launch of the MouseAge mobile application on the iOS platform to enable a community of researchers to contribute to the data collection and research. The MouseAge team is working on an exciting crowd-funded and crowd-sourced research project intended to develop the proof of concept for the deep learned photographic aging clock in mice.
Development of a
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