Tridimensional Diagnostic Framework for Neurodegenerative Diseases
Neurodiagnoses unifies multi-omics data, genetics, and neuroimaging in a single integrated platform. From Parkinson's to Alzheimer's, from ALS to Huntington's — analyze complex CNS disorders with scientifically validated methods and reproducible experiments.
The Tridimensional Approach
Analyze any neurodegenerative disease across three fundamental axes to build a complete mechanistic picture: from genetic predisposition to molecular pathology to structural consequences.
Axis 1: Etiology
Etiological factors including genetic risk, environmental influences, and disease predisposition. Genetics is a crucial component, but not the only one.
Examples: APOE, LRRK2, TREM2, GBA, MAPT, HTT, environmental factors
Axis 2: Markers
Molecular biomarkers from multi-omics data: proteomics, transcriptomics, metabolomics. The mechanistic layer.
Examples: CSF biomarkers, tissue proteomics, RNA-seq, metabolic profiles
Axis 3: Anatomic-Clinic Phenotype
Neuroimaging, brain structure, clinical manifestations. The anatomical and clinical phenotypic layer.
Examples: MRI volumetry, PET imaging, DTI, functional connectivity, clinical symptoms
Unified Scientific Validation
Neurodiagnoses ensures scientific congruence across all analysis workflows. Whether you're analyzing an individual patient or a research cohort, the underlying validated methodology remains consistent, preventing logic divergence for any disease.
Validated Results
62.5% causal validation, 37.5% spatial validation
Consistent Methodology
Same science across all tools and workflows
Reproducible Experiments
Run complex scientific analyses with one click
Applicable to Any Neurodegenerative Disease
The tridimensional framework is disease-agnostic. Whether you're studying Alzheimer's, Parkinson's, ALS, Huntington's, or any complex CNS disorder, Neurodiagnoses provides the same rigorous multi-axis analysis.
Smart Navigation: We Guide You to the Right Tool
Our Onboarding Wizard asks 3 questions and routes you to the perfect analysis workflow — regardless of which disease you're studying.
Step 1: Profile
Are you a clinician, researcher, or data scientist?
Step 2: Objective
Do you need individual diagnosis or cohort validation?
Step 3: Data
What data do you have? Genetics, proteomics, imaging?
Result: Automatic redirection to:
Industrial Services
We integrate multi-omics with artificial intelligence to advance biomarker discovery, early risk stratification, and clinical decision support — with scientific rigor and engineering excellence.
Multi-omics Integration
Cross-layer integration across genomics, transcriptomics, proteomics, metabolomics, and clinical phenotypes. Our unified platform orchestrates molecular signatures from multiple omics layers to build comprehensive mechanistic models.
Explainable AI
Robust learning and causal reasoning to improve generalization and interpretability for research and clinical use. Our models provide transparent visual explanations with feature importance scores and exportable reports.
Validation by Design
Multi-cohort cross-validation, fixed/random-effects meta-analysis, and multiple testing control (e.g., Benjamini-Hochberg). Our platform implements causal validation (genetic → molecular) and spatial validation (molecular → structural) with quantified metrics.
Technology & Platform
Data Platform
- • Secure data governance across centers
- • Batch-effect mitigation
- • Feature prioritization
- • Cross-assay alignment
Model Platform
- • Classification models
- • Time-to-event (Cox proportional hazards)
- • Causal discovery
- • Transparent visual explanations
- • Exportable reports
Solutions
Early Screening
Fluid-biomarker–based risk prediction and stratification. Predict conversion risk using CSF and plasma biomarkers combined with genetic factors, with time-to-event estimates.
- • ATN biomarker profiling
- • Cox proportional hazards models
- • Risk stratification (5 levels)
- • Survival curve prediction
Clinical Trials
Enrollment/stratification optimization and surrogate endpoint exploration. Optimize trial enrollment through patient stratification and identify surrogate endpoints from biomarker trajectories.
- • Patient eligibility filtering
- • Biomarker-based stratification
- • Surrogate endpoint identification
- • Multi-cohort matching
Gene Therapies
Variant analysis for therapeutic susceptibility and gene therapy target identification. Powered by GeneForge for comprehensive variant analysis and target prioritization.
- • Variant analysis
- • Therapeutic susceptibility scoring
- • Gene therapy target identification
- • Pathway analysis
Target Discovery
From molecules to pathways for mechanism hypotheses and prioritization. Analyze multi-omics data to identify therapeutic targets through pathway analysis and mechanistic hypothesis generation.
- • Pathway activation analysis
- • Target prioritization
- • Mechanistic hypothesis generation
- • Pathway mapping
Industrial services are available through our API. Contact us for access.
Learn More About Our PlatformStart Analyzing Complex CNS Disorders Today
Join researchers worldwide using Neurodiagnoses for validated, transparent, multi-axis analysis of neurodegenerative diseases.
⚠️ For research purposes only - Not a validated clinical diagnostic tool
Platform validated with Alzheimer's disease cohorts (0.0% deviation vs traditional methods). Framework applicable to any neurodegenerative disorder.