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MouseAge: An AI Beauty Contest in Support of Research Funding

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We have talked about the use of artificial intelligence (AI) assessing beauty in an earlier article here. In this video, Anastasia Georgievskaya, the project leader of MouseAge, talks about how science might overcome some of the issues and shortfalls of past attempts to measure beauty and how it relates to aging research.

Anastasia and her team are developing a visual biomarker system that uses AI to determine mouse age without the need for invasive tests and thus could help to improve the lives of research animals worldwide. The techniques being developed for beauty can be also be applied to more serious research, such as that of the MouseAge project, and what we learn from one could be translated to the other via a technique called transfer learning.

And on the subject of beauty, Anastasia also talks about a cool feature of the MouseAge project at Lifespan.io. Anyone who makes a donation of $25 or more to support the project can have their picture analyzed for beauty by an artificial intelligence!

This is a perfect opportunity to challenge your friends to support as well so you can see who is the fairest of them all!

To enter, all you have to do is contribute and send your HD photograph to [email protected]. Good luck!
About the author

Steve Hill

Steve serves on the LEAF Board of Directors and is the Editor in Chief, coordinating the daily news articles and social media content of the organization. He is an active journalist in the aging research and biotechnology field and has to date written over 500 articles on the topic, interviewed over 100 of the leading researchers in the field, hosted livestream events focused on aging, as well as attending various medical industry conferences. His work has been featured in H+ magazine, Psychology Today, Singularity Weblog, Standpoint Magazine, Swiss Monthly, Keep me Prime, and New Economy Magazine. Steve has a background in project management and administration which has helped him to build a united team for effective fundraising and content creation, while his additional knowledge of biology and statistical data analysis allows him to carefully assess and coordinate the scientific groups involved in the project.
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