LAZARUS PROTOCOL 3.0: A CONCEPTUAL FRAMEWORK FOR INVESTIGATING THE LIMITS OF CLINICAL RESUSCITATION THROUGH ADVANCED CRYOPRESERVATION AND NEURAL REGENERATION

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Authors: Ronaldo Piloto
Cited by: 0

Abstract

This paper presents the Lazarus Protocol 3.0, a structured conceptual framework for investigating the possibility of neural resuscitation following recent clinical death. Departing from previous speculative approaches, this framework establishes a measurable scientific objective: inducing minimal coherent neural activity in brains preserved within 60 minutes of cardiac arrest through immediate metabolic stabilization. The protocol is organized into five sequential phases: 1. Extreme Metabolic Stabilization (0-60 minutes) using ECMO, therapeutic hypothermia, and neuroprotective cocktails 2. Ultra-Rapid Cryopreservation through advanced vitrification techniques 3. Multi-System Regenerative Repair employing nanotechnology, mitochondrial therapies, and biomaterials 4. Partial Neural Network Reconstruction guided by AI-based connectome mapping 5. Controlled Reactivation and Intensive Neurorehabilitation Crucially, the framework explicitly distinguishes between restoring the original person (deemed biologically and philosophically implausible) and investigating whether preserved neural tissue can be reactivated to generate new, minimal consciousness. The work addresses significant ethical challenges regarding the creation of a "new subject," establishes realistic technological readiness assessments, proposes specific success criteria for each phase, and outlines a multi-decade research pathway. The Lazarus Protocol 3.0 serves not as a clinical procedure but as an interdisciplinary roadmap that identifies key scientific bottlenecks, ethical boundaries, and research priorities at the intersection of cryobiology, regenerative medicine, and neuroengineering.

Fields of Study & Subjects

Tissue Engineering and Regenerative Medicine Organ Donation and Transplantation Neurogenesis and neuroplasticity mechanisms

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
1 January 2026
Language
EN
Document type
Preprint