Lack of predictive science for controlling morphogenesis in regenerative medicine

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• Regenerative medicine lacks predictive science of morphogenesisclaim0.926
• How Can We Predictively Control Morphogenetic Outcomes Byquestion0.826
• Morphogenesis could be trainable via reinforcement learning, enabling a new path to anatomical control in regenerative medicine.claim0.819
  Suggests training tissues as an alternative to micromanaging molecular pathways.
• Can Bioelectric Manipulation Enable Predictive Control Over Morphogenesisquestion0.801
• Morphogenesis is trainable via reinforcement learning for specific morphological outcomes.hypothesis0.801
  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.claim0.795
• Robustness in morphogenesis is achieved through plasticity and multiscale problem-solving, not hardwired repeatability.hypothesis0.790
  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.
• morphogenesis and sustainabilityframework0.789
  The overarching thesis of the lecture: that morphogenesis is the key to true sustainability.