Science & Validation
The scientific foundation of Neurodiagnoses: peer-reviewed publications, validation studies, and transparent methodology.
Peer-Reviewed Publications
Menéndez-González, M. (2025). Implementing a tridimensional diagnostic framework for personalized medicine in neurodegenerative diseases. Alzheimer's & Dementia. https://doi.org/10.1002/alz.14591
Menéndez-González, M. (2023). Toward a new nosology of neurodegenerative diseases. Alzheimer's & Dementia, 19(8), 3731-3737. https://doi.org/10.1002/alz.13041
Platform Validation Study (v2.0)
Neurodiagnoses Platform Achieves Complete Equivalence with Traditional Biostatistical Methods
Menéndez-González, M., Neurodiagnoses AI Development Team (2025). Neurodiagnoses Platform Achieves Complete Equivalence with Traditional Biostatistical Methods for Multi-Omics Causal Validation in Alzheimer's Disease. Manuscript v2.0.
Key Innovation: Unified Validation Methodology
Consistent scientific methodology ensures 0.0% deviation between individual patient and cohort research analysis paths, maintaining scientific congruence across all workflows.
Causal Validation (Axis 1 → Axis 2)
62.5%
5/8 biomarkers, p<0.05
Spatial Validation (Axis 2 → Axis 3)
37.5%
12/32 correlations, p<0.05
Reproducibility Package (v2.0): Includes manuscript, validation methodology, CSV templates, and user guides. Contact manuelmenendez@fneurociencias.org for download link.
Other Preprints
Osaghae, N., & Menendez Gonzalez, M. (2025). Integrating Machine Learning Pipelines for Multimodal Biomarker Prediction in Alzheimer's and Parkinson's Disease: A Component of the Neurodiagnoses Framework. medRxiv. https://doi.org/10.1101/2025.08.13.25333561