MaxToki, a transformer model trained on single-cell RNA sequencing data, predicts cellular aging trajectories over time, addressing limitations of existing models that only analyze static cell snapshots. This breakthrough enables researchers to understand and potentially reverse age-related diseases by identifying gene network changes across decades, offering new insights into disease progression and resilience mechanisms.
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