Background: The Sovereign Discovery Engine, an autonomous AI system for cross-domain hypothesis generation,was deployed to mine PubMed for Long COVID therapeutic targets. Unexpectedly, the engine retrieved crustaceanimmunology papers, revealing evolutionarily conserved innate immune pathways with translational relevance. Objective: This paper presents seven emergent hypotheses from Phase 2, including cross-species Toll-like receptorpathway conservation, a plasma biomarker for Long COVID dizziness, and a mitochondrial restoration protocol—building upon our SSRI dual-mechanism hypothesis 1. Methods: The engine processed 86 papers generating 2,786 P11-verified triplets 2. Gap-detection algorithmsidentified under-explored connections; autonomous query synthesis directed retrieval across taxonomic boundaries. Results: Seven hypotheses emerged: (1) Toll-MyD88-NF-κB conservation (100% resistance increase documented);(2) PRDX3 biomarker (90% correlation, >47.9 ng/mL threshold); (3) NAD+/NMN for mitochondrial restoration(70% involvement); (4) MSC M1→M2 polarization (80–90% efficiency); (5) β3-AR agonists for autonomic dysfunction(P<.0001); (6) Multi-target natural compounds (EGCG 15×, Taxifolin 84%); (7) Cross-species probiotic activation(100× viral reduction). Conclusion: The discovery of conserved immune pathways—backed by 2,786 verified triplets (90% quantified)—demonstrates AI-driven literature mining’s translational potential. Multiple findings show publication-qualityevidence ready for clinical validation.
David Tom Foss (Tue,) studied this question.