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Modeling transcriptomic age using knowledge-primed artificial neural networks

Medicine and Health

Modeling transcriptomic age using knowledge-primed artificial neural networks

N. Holzscheck, C. Falckenhayn, et al.

Discover the groundbreaking age clock developed by Nicholas Holzscheck and his team, which accurately predicts age from biological data while revealing aging pathways. This innovative machine learning model goes beyond traditional methods by providing insights into accelerated aging conditions and longevity interventions.

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