This study leverages a high-throughput swarm-based deep neural network (SDNN) and transcriptomic data—an approach that enhances predictive accuracy and robustness through collective intelligence—to augment, model, and enhance the understanding of the TP53 pathway in AML cohorts. Here, TP53 is linked to acute myeloid leukemia.