A Human-Aligned Experimental System

Neurxstem’s models replicate human disease etiology with rare precision. Unlike cortical organoids or region-limited systems, NNOP™ includes the retina, cortex, midbrain, hindbrain, cerebellum, spinal cord, blood-brain barrier, and all major cell types—including microglia.

This architecture enables:

  • Functional genomic modeling at systems level

  • Transcriptomic and metabolomic corroboration

  • Mechanistic studies across entire neural networks

  • Stratification by ancestry, sex, and molecular subtype

Model Specifications

  • Regions included: retina, cortex, midbrain, hindbrain, cerebellum, spinal cord

  • Cell types: neurons, astrocytes, oligodendrocytes, endothelial cells, microglia

  • Blood–brain barrier: present

  • Multi-omic outputs: matched transcriptomic, metabolomic, and phenotypic datasets

  • Reproducibility: 98–99% across lines and replicates

  • Human concordance: p < 10⁻¹⁰⁰ vs. clinical Alzheimer’s tissue

  • Batch production with standardized QC

  • Available formats: frozen plate, live culture, or dataset-only

Applications Across Research Programs

  • Pathway discovery and upstream target identification

  • Mechanistic validation against human molecular signatures

  • Biomarker development with 500+ validated disease markers

  • Accelerated aging models for hallmarks-of-aging research

  • AI development using precise, clinically corroborated data

The reproducibility of these models — 98–99% across replicates — makes them suitable for high-rigor research environments and regulatory submission packages.

Disease and Pathway Coverage

Neurxstem’s multi-omic datasets support research across:

  • Alzheimer’s disease

  • Parkinson’s disease

  • Migraine

  • Autism

  • Opioid use disorder

  • Aging and senescence pathways

  • Neuroinflammation and immune–neural interactions

  • Glymphatic function

  • Fragility, resilience, and metabolic aging signatures

Why Precision Matters for AI

Neurxstem resolves the field’s major bottleneck: lack of scientifically rigorous, high-resolution molecular data for learning and reasoning algorithms.

Garbage-in/garbage-out dynamics limit healthcare AI. NNOPT™ datasets provide the precision required for early detection, predictive analytics, digital twins, and clinical decision support.

Researchers can license datasets, run custom studies, or integrate NNOPT™ outputs directly via API.

Access Options

  • Dataset Licensing
    Multi-omic disease, aging, or control datasets available for direct analysis.

  • Custom Studies
    Mechanistic assays, pathway interrogation, and target validation.

  • Model Delivery
    Whole-architecture or region-specific models, available as live or frozen systems.

  • API Integration
    Direct access to standardized NNOPT™ outputs for AI model training.

  • Collaborative Research Programs
    Joint studies aligned with NIH, DoD, academic centers, and industry partners.