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    <title>Single-Cell on BIOCOMPUTER</title>
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      <title>MaxToki: Temporal AI Trained on 175 Million Cells Predicts How to Rejuvenate Aging Cell States</title>
      <link>https://biocomputer.com/blog/maxtoki-temporal-ai-aging-rejuvenation/</link>
      <pubDate>Wed, 08 Apr 2026 00:00:00 +0000</pubDate>
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      <description>&lt;p&gt;On April 6, 2026, David Sinclair highlighted a new preprint that brings AI directly into the heart of cellular aging. Researchers at Gladstone Institutes, in collaboration with NVIDIA and others, have built &lt;strong&gt;MaxToki&lt;/strong&gt; — a temporal AI foundation model trained on massive single-cell gene expression data spanning the entire human lifespan.&lt;/p&gt;&#xA;&lt;p&gt;The model doesn&amp;rsquo;t just observe how cells change with age. It learns the trajectories of cell states over time and predicts perturbations that can restore youthful identity. Experimental validation in vivo already shows the predicted targets influence age-related gene programs and functional decline.&lt;/p&gt;&#xA;&lt;p&gt;This is biology meeting modern foundation modeling at scale.&lt;/p&gt;</description>
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