Cellular Digital Twins - Bryant McGill

# Cellular Digital Twins **Entity class:** Computational biology model **Domain:** Artificial intelligence / science / political economy **Maturity:** Developed ## Definition **Cellular Digital Twins** are computational models of cell states, responses, and transitions trained on observational and interventional biological data. ## Mechanism and Consequence Their purpose is not merely to imitate a cell but to search intervention space: begin with a diseased state, simulate candidate actions, and identify routes toward a healthy state for laboratory verification. ## Relationships - [[wiki/Digital Twin|Digital Twin]] - [[wiki/AI-Driven Biology|AI-Driven Biology]] - [[wiki/Simulation|Simulation]] - [[wiki/Biological Moonshots|Biological Moonshots]] ## Source Dossiers - [[research/AI Is Now So Good They Will Pay You to Quit|AI Is Now So Good They Will Pay You to Quit]] - [[research/Super Intelligence Week Index of Statements from the White House Luncheon|Super Intelligence Week Index of Statements from the White House Luncheon]] - [[research/Jensen Pushes Back on Doomers Moonshots Live|Jensen Pushes Back on Doomers Moonshots Live]] ## Simple Reminders, Quotations, and Thoughts > "Digital twins of cells are the critical path to solving all disease. Over the next few years, just as large language models were trained on substantially all of humanity’s behavior on the internet through text and images, we will train digital twins of all the cells in our bodies on enormous interventional and observational datasets. We will then use those cellular twins to perform exhaustive AlphaGo-like searches of intervention space, beginning with a diseased cell state and looking for a creative strategy—a Move 37—that produces a healthy cell state." > **— Alexander Wissner-Gross**, *MOONSHOTS Live, September 25, 2026* [[reminders/Simulation/Cellular Digital Twins Are the Critical Path to Solving Disease by Alexander Wissner-Gross|Cellular Digital Twins Are the Critical Path to Solving Disease by Alexander Wissner-Gross]] > "The beauty of the Millennium Problems for Biology is that they are easy to verify and, for now, hard to solve. That structure turns every hard biological problem into a mathematical conjecture and a target. With cellular digital twins, biology becomes a search problem, which makes it tractable for the first time in history." > **— Alexander Wissner-Gross**, *MOONSHOTS Live, September 25, 2026* [[reminders/Simulation/Cellular Digital Twins Turn Biology Into a Search Problem by Alexander Wissner-Gross|Cellular Digital Twins Turn Biology Into a Search Problem by Alexander Wissner-Gross]] > "There is something called autoresearch by Andrej Karpathy, whereby you can set an AI at a task and it will hill-climb. It will just get better and better at optimizing inference on an engine or protein folding or anything complicated." > **— Emad Mostaque**, *Impact Theory with Tom Bilyeu, 2026* [[reminders/Scientific Acceleration/AI Can Hill-Climb Its Way Through Protein Folding and Inference by Emad Mostaque|AI Can Hill-Climb Its Way Through Protein Folding and Inference by Emad Mostaque]] > "There is utter hypocrisy in saying AI will kill us all, opening a wet lab, and then combining frontier AI with that wet lab to synthesize proteins and other molecular assemblies of unknown function. Those are the frontier labs’ revealed preferences. I do not think they believe their own attempts at regulatory capture or safety-cartel formation; their revealed preference is full steam ahead on using AI to solve biology." > **— Alexander Wissner-Gross**, *MOONSHOTS Live, September 25, 2026* [[reminders/Biotechnology/Frontier Labs Are Moving Full Speed Ahead on AI-Driven Biology by Alexander Wissner-Gross|Frontier Labs Are Moving Full Speed Ahead on AI-Driven Biology by Alexander Wissner-Gross]] > "We believe that biohybrid robots powered by living muscle could one day perform delicate jobs like exploring environments too fragile or unpredictable for conventional hardware, because living tissue is soft, responsive to its surroundings, and can heal itself." > **— Ritu Raman**, *Powered by muscle cells, a paper-thin robot swims through watery maze, September 29, 2026* [[reminders/Biotechnology/Living Muscle Can Power Robots That Heal Themselves by Ritu Raman|Living Muscle Can Power Robots That Heal Themselves by Ritu Raman]]  > Anything science can simulate and verify becomes a domain in which AI can search for solutions. That is why virtual models and simulations will play a crucial part in solving biology. > **— Adapted from Richard Socher**, *MOONSHOTS Live, October 2026* [[reminders/Simulation/AI Can Solve What Science Can Simulate and Verify by Richard Socher|AI Can Solve What Science Can Simulate and Verify by Richard Socher]] ## ASI and RSI Timeline Research Routes This node is connected to the developed research ontology for [[research/ASI and RSI Timeline Research Moonshots|ASI and RSI Timeline Research Moonshots]]. The route distinguishes the source transcript from canonical wiki objects and lets later Reminders inherit an already connected conceptual graph. - **Master ontology:** [[ASI and RSI Timeline Ontology]] - **Computational Biology and Virtual Cells:** [[ASI and RSI Timeline Ontology#Computational Biology and Virtual Cells|complete route]] · [[Virtual Cell]] · [[Cell Simulator]] · [[Whole-Cell Model]] · [[CZI Virtual Cells Platform]] · [[Tahoe Therapeutics]] · [[Massive Cellular Perturbation Study]] · [[Single-Cell Perturbation Data]] · [[Digital Biology]]