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Peripheral AI-Symbiont (PAIS): Upstream Intervention in Aging via Localized Autonomous Micro/Nano-Robotic Network

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Abstract

Aging is driven by a self-reinforcing Peripheral Vicious Cycle (PVC) originating in post-reproductive sympathetic overactivation, leading to chronic mechanical wear, ischemia, fibrosis, and systemic inflammaging. Current approaches targeting downstream hallmarks have shown limited success because they do not address the upstream peripheral source. This work introduces the Peripheral AI-Symbiont (PAIS) — a fully peripheral, autonomous network of self-organizing micro/nano-robots designed as the missing evolutionary link. The system comprises a bilateral central edge-AI hub (mastoid-placed), regional hubs, and thousands of distributed micro-robots operating exclusively in peripheral tissues (muscle, fascia, subcutaneous adipose, entheses). The PAIS continuously monitors local tone, ischemia, and mechanical stress, delivers targeted mechanical micro-vibrations and, when needed, bio-native enzymatic boosters, while maintaining strict red lines: no brain penetration, no systemic dissemination, no direct interference with central autonomic or endocrine axes. All communication and learning occur via low-power multi-hop HBC/acoustic relays and federated learning, preserving complete privacy. A phased deployment (0–60+ months) enables safe integration, personalization, and transition to fully autonomous “eternal repair” mode. Microgravity is proposed as an ideal accelerated testbed. By neutralizing the root peripheral driver of inflammaging, the PAIS is expected to restore tissue homeostasis, enhance resilience, and significantly slow or partially reverse key aspects of biological aging while remaining evolutionarily compatible with core protective mechanisms of the autonomic nervous system.