Digital Genesis: Constraint-Certified Autonomous Control for Biohybrid Organ Systems

Adaptive control systems increasingly govern safety-critical physical processes, yet most remain fundamentally reactive: they tune parameters online but lack mechanisms for bounded evolution, self-preservation, and guaranteed recovery from maladaptive adaptation [1, 2]. This limitation becomes acute in biological and biohybrid systems, where continuous operation, patient specificity, and irreversible harm preclude open-ended learning or opaque optimization. This paper introduces Digital Genesis, a control architecture for instantiating constrained digital organisms—autonomous control entities whose adaptive behavior is strictly confined within precertified safety envelopes. In this framework, the control state itself constitutes a heritable, mutable digital genome, while admissible system behaviors define a constrained phenotype space derived from physical, biological, and regulatory limits [10, 11]. Adaptation proceeds through bounded mutation of control parameters, gated by predictive validation and enforced by deterministic rollback (apoptosis) upon deviation from validated outcomes [8]. The result is not unconstrained learning, but evolution within an inviolable cage. We ground this architecture in a concrete, safety-critical application: a synthetic liver test bed based on a perfused, multicellular biohybrid reactor. We map abstract control concepts to measurable biochemical functions—including ammonia detoxification, protein synthesis, glucose regulation, and drug metabolism—and define a clinically derived constraint envelope spanning biochemical safety limits, cellular viability, and device physics. We present a genome-level parameterization, real-time sensing architecture, fitness formulation, and a simulation-gated control loop that enables patient-specific optimization while preserving hard safety guarantees [3, 4]. Beyond the external device, we outline a phased translational roadmap toward a fully implantable biohybrid liver, identifying material, vascular, immunological, power, and control challenges. Crucially, we argue that increasing autonomy strengthens—rather than weakens—the role of constraints: in the implantable limit, the safety envelope must be hardware-enforced and immutable, ensuring that no adaptive trajectory can escape certified bounds [14, 15]. Digital Genesis reframes autonomy in safety-critical systems: not as freedom from constraint, but as disciplined evolution within it. While demonstrated in a synthetic liver context, the architecture generalizes to other cyber-physical domains requiring continuous adaptation under absolute safety guarantees, including medical devices, infrastructure control, and autonomous environmental systems [10, 11].