A landmark gathering of 160 researchers from physics, biology, computation, and medicine established the foundations of gerophysics—a new discipline applying physical laws and quantitative principles to aging science. The conference produced four concrete priorities: creating shared multi-modal datasets, developing physics-based definitions for aging and rejuvenation, building predictive models for interventions, and establishing translational bridges between species research and human applications. This represents a significant methodological shift in aging research toward quantitative, physics-informed approaches rather than purely biological observations. The emergence of gerophysics addresses a critical gap in longevity science—the lack of unified theoretical frameworks that can predict intervention outcomes across species. By applying physical principles to biological aging processes, this approach could accelerate the development of targeted longevity interventions. However, the field's success will depend on whether these ambitious theoretical frameworks can generate testable hypotheses and reproducible results. The emphasis on predictive models is particularly promising, as current aging research often lacks the quantitative rigor needed for precise intervention design and optimization.