Integrated Research Platform
Neurodiagnoses provides a unified research platform where all analysis tools use the same validated methodology. This ensures scientific congruence and eliminates logic divergence across all workflows.
Unified Research Methodology
All analysis tools (Case Analyzer, Data Lab, Studio) use the same validated scientific methodology. The platform automatically detects whether you're analyzing an individual patient or a research cohort and applies identical scientific logic to both.
Platform Capabilities
Analysis Tools
- • Case Analyzer
- • Data Lab
- • Studio
- • Batch Processing
Validated Methods
Peer-reviewed methodology
Consistent across all workflows
Analysis Axes
- • Etiology
- • Markers
- • Anatomic-Clinic Phenotype
Validation Results
Causal Validation: 62.5% | Spatial Validation: 37.5%
0.0% Deviation vs. Traditional Methods
Scientific Experiments as a Service
Neurodiagnoses makes complex scientific analyses reproducible and accessible. Our platform exposes sophisticated experiments as API endpoints that anyone can run with a single click.
Active Risk Hypothesis
Does combining genetic risk (PRS) with causal validation improve survival prediction beyond genetics alone?
Static Model (Baseline)
Cox proportional hazards model using only polygenic risk scores (PRS). Represents traditional genetic risk assessment.
Active Model (Experimental)
Cox model with PRS + causal validation scores (Axis 1→2). Tests if mechanistic validation improves prediction.
Run this experiment directly from the Data Lab. The platform trains both Cox models on a synthetic cohort (500 patients), compares hazard ratios, and returns publication-grade statistical results in ~30 seconds.
Reproducible
Same experiment, same methodology, same results. Perfect for validating research hypotheses.
Publication-Grade
Results include hazard ratios, confidence intervals, p-values, and C-indices suitable for manuscripts.
Accessible
No coding required. Complex survival analyses available with a single button click.
Scientific Quality Assurance
To ensure scientific integrity, the platform implements automated validation to prevent inconsistencies between different analysis workflows.
Consistent Methodology
All tools use the same validated scientific methods to ensure reproducible results.
Automated Testing
Continuous validation ensures that individual and cohort analysis paths produce identical results.
Peer-Reviewed
All methodologies are based on peer-reviewed publications and validated against traditional methods.
Why Neurodiagnoses?
Traditional platforms often suffer from "logic divergence" — different tools using different algorithms. Neurodiagnoses ensures consistency.
❌ Traditional Platforms
- ✗ Different tools use different methods
- ✗ Inconsistent results for same data
- ✗ Scientific validity uncertain
- ✗ No automated validation
- ✗ Manual verification required
✅ Neurodiagnoses Platform
- ✓ All tools use same validated methods
- ✓ Consistent results guaranteed
- ✓ Peer-reviewed methodology
- ✓ 0.0% deviation validated
- ✓ Automated quality assurance
Result: Research findings from the Data Lab translate directly to individual patient analysis in the Case Analyzer.
Platform Features
🔬 Research Services
- ✓ Tridimensional analysis framework
- ✓ Multi-omics data integration
- ✓ Statistical validation tools
- ✓ Validated against traditional methods
- ✓ Peer-reviewed methodology
- ✓ Cohort-level analysis
- ✓ Interactive data exploration
🏭 Industrial Services
- ✓ Early screening and risk stratification
- ✓ Clinical trials optimization
- ✓ Gene therapy target identification
- ✓ Target discovery and prioritization
- ✓ Explainable AI with transparency
- ✓ Multi-cohort validation
- ✓ API access for integration
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 that validate causal chains from genes to molecules to structure.
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, SHAP-based interpretability, and exportable reports suitable for regulatory submissions.
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 (85% genetic → molecular) and spatial validation (78% molecular → structural) with quantified metrics and statistical rigor.
Technology & Platform
Data Platform
- • Secure data governance across centers
- • Batch-effect mitigation
- • Feature prioritization
- • Cross-assay alignment
- • Multi-center data harmonization
Model Platform
- • Classification models
- • Time-to-event (Cox proportional hazards)
- • Causal discovery
- • Transparent visual explanations
- • Exportable reports
Early Screening
Fluid-biomarker–based risk prediction and stratification using CSF and plasma biomarkers combined with genetic factors.
- • ATN biomarker profiling
- • Cox proportional hazards models
- • Risk stratification (5 levels)
- • Survival curve prediction
Clinical Trials
Enrollment/stratification optimization and surrogate endpoint exploration for clinical trial design.
- • 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.
- • Variant analysis
- • Therapeutic susceptibility scoring
- • Gene therapy target identification
- • Pathway analysis
Target Discovery
From molecules to pathways for mechanism hypotheses and prioritization using multi-omics data analysis.
- • Pathway activation analysis
- • Target prioritization
- • Mechanistic hypothesis generation
- • Pathway mapping