The DELTA study introduces a comprehensive N=1 protocol combining time-restricted eating, Mediterranean diet, exercise regimens, and supplementation with continuous digital monitoring to assess human biological resilience. The approach measures adaptive capacity through dynamic biomarker responses to systematic challenges like fasting, integrating AI analytics, wearables-based sleep monitoring, and microbiome assessment. This represents an ambitious attempt to quantify healthspan optimization through personalized intervention tracking. The methodology addresses a critical gap in longevity research by moving beyond static biomarker snapshots to dynamic resilience metrics. However, significant limitations constrain immediate applicability: single-subject design prevents generalizability, the healthy volunteer may not represent broader populations, and N=1 studies inherently lack statistical power for causal inference. The digital biomarker concept shows promise for precision health applications, but validation requires larger cohorts across diverse populations and health states. While the integrated approach reflects current longevity optimization trends, this preprint awaits peer review and results may change. The study's primary value lies in methodology development rather than definitive health recommendations, offering a framework that could inform future participatory trials.