The study, by scientists at AgeX and BioTime, in collaboration with Insilico Medicine, utilized artificial intelligence (AI) technology to parse millions of gene expression data points to decipher the complex mechanisms controlling natural tissue regeneration. The results, published in the peer-reviewed scientific journal Oncotarget, showed that the candidate genes are expressed differently in tissues early in development when they are capable of regeneration compared to later in life when regeneration can no longer take place. Surprisingly, some of the genes, including one highlighted in the study, COX7A1, displayed a rare profile of being nearly universally dysregulated in diverse types of cancer. The discoveries may lead to novel strategies to induce Tissue Regeneration (iTRTM) in the context of trauma or age-related degenerative disease, as well as treat and diagnose cancer.