AI4S Open Innovation · AI for Life Science
An evolutionary optimizer searches a telomere-dynamics model for intervention conditions worth running on a real organ-on-a-chip — simulate, evolve, compare, learn.
Maintenance and repair can slow it down, but both cost the cell something, and every real intervention condition costs a real culture run.
Telomere Evolution Lab searches that space in silico first, including organ-on-a-chip culture conditions — flow, oxygen, nutrients, stress — before anyone commits a physical chip.
The same panel as the real Simulate page — watch it run
The app's 3D view: caps shorten with every division until the cell is depleted and senescent.
Illustration of a typical cell reconstructed from the run's summary statistics — not a measured single cell.