This comprehensive framework positions biological resilience as a measurable, modifiable target that better predicts aging outcomes than chronological age alone. The model integrates molecular maintenance mechanisms, immune-endocrine-autonomic system regulation, and functional capacity measurements from multi-omics data, autonomic rhythms, and digital health metrics to create personalized resilience profiles. This represents a fundamental shift in longevity medicine from reactive disease treatment to proactive capacity preservation. The framework's emphasis on recovery dynamics and physiological flexibility aligns with emerging evidence that adaptive reserve—not accumulated damage—determines healthy aging trajectories. For clinical practice, this could revolutionize how we assess aging risk and design interventions. Rather than waiting for disease onset, physicians could identify declining resilience early and implement targeted lifestyle, psychosocial, or pharmacological strategies to restore adaptive capacity. The approach acknowledges aging's inherent heterogeneity while providing concrete biomarkers for tracking intervention effectiveness. However, the framework's complexity may challenge implementation in standard clinical settings, and validation across diverse populations remains essential. This conceptual advance could catalyze a paradigm shift toward prevention-centered aging care that maintains functional independence and quality of life.