Regenerative medicine lacks predictive science of morphogenesis

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• Lack of predictive science for controlling morphogenesis in regenerative medicinequestion0.926
• Morphogenesis could be trainable via reinforcement learning, enabling a new path to anatomical control in regenerative medicine.claim0.815
  Suggests training tissues as an alternative to micromanaging molecular pathways.
• Morphogenesis is trainable via reinforcement learning for specific morphological outcomes.hypothesis0.804
  If cells form a collective intelligence, they should be trainable by rewards/punishments.
• Understanding Self-plasticity and morphogenesis has direct implications for regenerative medicine and neural repair.claim0.798
• "biological morphogenesis is not well-described by bottom-up, open-loop, mechanical models, but instead exhibits more complex policies as it navigates the space of possible anatomical shapes despite various perturbations"concept0.795
• Morphogenesis gives an entirely different model of what it means to have a sustainable world.claim0.792
  Positions morphogenesis as a paradigm shift away from resource‑counting toward a living, unfolding world.
• Robustness in morphogenesis is achieved through plasticity and multiscale problem-solving, not hardwired repeatability.hypothesis0.784
  Developmental robustness across perturbations arises from the cellular competency to reach the same goal by different means, not from fixed local rules; higher-order robustness.
• Can Morphogenesis And Regeneration Be Understood As Problemsolvingquestion0.782