Temporal AI model predicts drivers of cell state trajectories across human aging
Javier Gómez Ortega, Rangarajan D. Nadadur, Akira Kunitomi, Steven Kothen-Hill, Julian U G Wagner, Sarp Kurtoglu, Bumjoon Kim, Madigan M. Reid, Thomas Lu, Kaho Washizu, Lukas Zanders, Han Chen, Yujie Zhang, Sarah Ancheta, Sara Lichtarge, , Christina V. Theodoris
The paper introduces a temporal AI model, MaxToki, trained on extensive gene data to predict cell state changes across human aging and identifies age-modulating targets.
bioRxiv · Apr 1, 2026 · PreprintBioinformatics