6. Comparative Biology May Reveal Strategies for Radical Longevity

Nature has already carried out the most successful longevity experiments: across mammals, lifespan varies by more than two orders of magnitude, far exceeding the effects of single drugs, diets, or genetic manipulations in laboratory models. Different cell types within organisms also show wide differences in longevity. Long-lived species such as bats, naked mole rats, whales, and humans achieved longevity through coordinated changes in genome maintenance, proteostasis, metabolism, immunity, stress resistance, cancer control, development, and tissue architecture. The challenge is not simply to find longevity genes, but to learn the state space of long-lived biology and determine how shorter-lived organisms can become long-lived. Comparative genomics, cross-species multiomics, longitudinal aging data, iPSC-derived systems, perturbation screens, intervention-response datasets, and other data can be used to develop AI models of longevity and ultimately identify complex combinations of interventions that could shift organisms toward longer lived states. In this view, comparative biology becomes a strategy-learning engine: it can suggest not only targets, but also coordinated intervention programs, including tissue priorities, timing, sequence, and trade-offs, which can then be tested in cells, organoids, and animal models.