Review Volume 11, Issue 22 pp 10771—10780

Deep biomarkers of aging and longevity: from research to applications

Figure 2. Training the deep neural networks on multimodal longitudinal data to predict (A) age of the individual and (B) age and health status of the individual and using the feature importance and selection approaches to infer causal relationships, pathways, and targets.