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Modeling transcriptomic age using knowledge-primed artificial neural networks
Medicine and Healthnpj Aging and Mechanisms of Disease

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.... show more
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Citations
73
Influential Citations
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Reference Count
100
Citation by Year

Note: The citation metrics presented here have been sourced from Semantic Scholar and OpenAlex.

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