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A methodological preprint demonstrating a federated learning framework for aging prediction in silico across distributed datasets, not yet peer-reviewed, with no clinical validation or comparison to established aging clocks.
This is an unrefereed methodological preprint proposing a new statistical estimator for causal inference in conversion-rate settings; it has not been peer reviewed and lacks clinical or real-world validation data.
A single-centre, uncontrolled algorithmic study with proxy-based validation on a fixed prompt pool; gains are reported but lack matched baselines and statistical significance testing, making this an early-stage method proposal requiring peer review and independent replication.