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Researchers may misinterpret this as high inter-subject variability or weak efficacy when the real cause is compromised sample integrity
Trajectory inference, dynamical modeling, and machine learning are now routinely used to predict aging-associated state shifts, prioritize perturbation targets, and generate testable hypotheses for rejuvenation strategies
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