AgeNet is an online resource for algorithm developers around the world interested and engaged in aging and healthcare research and developing algorithms for recognition of person's chronological age, biological age, and health status. Like the venerated ImageNet, which helped algorithm developers surpass humans in image recognition using deep learning techniques, AgeNet intends to take biomarker development to the new level.
We will be conducting regular competitions and hackathons on the various data sets starting from facial images to blood tests and genomic data.
Developing accurate predictors of age and health status is important because these exercises will help identify problems at an early stage as well as track the effectiveness of therapeutic interventions and preventive measures.