Photographic Biomarkers of Age

In 2017 we successfully raised funds for the development and validation of AI-powered photographic biomarkers of aging in mice via deeplearningalgorithms that can predict a subject’s biological age via deep learning-based analysis. We consider the development of accurate and actionable biomarkers of aging to be one of the most important objectives within ageing research, because biomarkers of age are a prerequisite for testing the effectiveness of any healthspan-extending interventions. Throughout 2018 we plan on fully developing the mobile app associated with this project, validating its effectiveness and publishing the results, and then moving on to validation in human subjects.