Future Directions Toward Integrated, Autonomous, and Equitable Intelligent Therapeutic Ecosystems

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Abstract
This chapter offers a future-oriented framework for intelligent therapeutic ecosystems in genome, epigenome, and mitochondrial therapies. It positions AI-enabled therapeutics as integrated socio-technical and biological systems, rather than as isolated algorithms, applications, or delivery devices. Building on integration, bounded autonomy, and equity as organizing principles, the chapter incorporates closed-loop gene regulation, quorum-sensing machine learning, nanobot-enabled sensing and delivery, newborn-screening referral pathways, and noninvasive second-tier diagnostics. It identifies architectural, safety, regulatory, and equity requirements for connecting multi-omics data, clinical workflows, biological actuators, patient-facing tools, registries, and human oversight. The chapter concludes with a maturity model and research agenda for therapeutic intelligence that is safe, auditable, inclusive, and clinically accountable.

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