RejuvenateKit

RejuvenationKit is a typed Python toolkit for auditing and analyzing longitudinal preclinical rejuvenation studies. It sits above established assay-specific pipelines and helps research teams answer: Is this study trustworthy, did the intervention produce a coherent response, when did it appear, and which biological systems drove it? Phase 1 is complete and available as an alpha. It includes protocol-aware quality control, analysis-readiness profiling, experimental-confounding checks, held-out DSP change detection, sequential response monitoring, randomized longitudinal inference, and reproducible report bundles. This project is for research use. It is not medical software and does not produce treatment recommendations.