Wiki source code of Neurodiagnoses

Version 6.1 by manuelmenendez on 2025/01/27 23:21
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5 = **Neurodiagnoses**
6 //A new tridimensional diagnostic framework for CNS conditions// =
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8 This project is focused on developing a novel nosological and diagnostic framework for neurological diseases by using advanced AI techniques and integrating data from neuroimaging, biomarkers, and biomedical ontologies.
9 We aim to create a structured, interpretable, and scalable diagnostic tool.
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17 = What is this about and what can I find here? =
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19 ==== **Overview** ====
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21 The //Tridimensional Diagnostic Framework// redefines how neurodegenerative diseases (NDDs) are classified by focusing on:
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23 * **Axis 1**: Etiology (genetic/sporadic and environmental factors).
24 * **Axis 2**: Molecular Markers (biomarkers and proteinopathies).
25 * **Axis 3**: Neuroanatomoclinical correlations (linking clinical symptoms to structural changes in the nervous system).
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27 This methodology enables:
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29 * Greater precision in diagnosis.
30 * Integration of incomplete datasets using AI-driven probabilistic modeling.
31 * Stratification of patients for personalized treatment.
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33 ==== **Diagnostic Axes** ====
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35 * (((
36 **Axis 1: Etiology**
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38 * //Description//: Focuses on genetic and sporadic causes, identifying risk factors and potential triggers.
39 * //Examples//: APOE ε4 as a genetic risk factor, or cardiovascular health affecting NDD progression.
40 * //Tests//: Genetic testing, lifestyle and cardiovascular screening.
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43 **Axis 2: Molecular Markers**
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45 * //Description//: Analyzes primary (amyloid-beta, tau) and secondary biomarkers (NFL, GFAP) for tracking disease progression.
46 * //Examples//: CSF amyloid-beta concentrations to confirm Alzheimer’s pathology.
47 * //Tests//: Blood/CSF biomarkers, PET imaging (Tau-PET, Amyloid-PET).
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50 **Axis 3: Neuroanatomoclinical**
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52 * //Description//: Links clinical symptoms to neuroanatomical changes, such as atrophy or functional impairments.
53 * //Examples//: Hippocampal atrophy correlating with memory deficits.
54 * //Tests//: MRI volumetrics, FDG-PET, neuropsychological evaluations.
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57 ==== **Case Studies** ====
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60 **Sporadic Alzheimer’s Disease**:
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62 * Axis 1: Sporadic (ApoE4, poor sleep habits).
63 * Axis 2: Amyloid-beta plaques, elevated NFL.
64 * Axis 3: Right hippocampus atrophy (visual memory loss).
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67 **Genetic Parkinson’s Disease**:
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69 * Axis 1: Genetic (LRRK2 mutation).
70 * Axis 2: Alpha-synuclein aggregation.
71 * Axis 3: Substantia nigra degeneration (motor dysfunction).
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74 ==== **Applications** ====
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76 This system enhances:
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78 * **Research**: By stratifying patients, it reduces cohort heterogeneity in clinical trials.
79 * **Clinical Practice**: Provides dynamic diagnostic annotations with timestamps for longitudinal tracking.
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81 == Who has access? ==
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83 We welcome contributions from the global community. Let’s build the future of neurological diagnostics together!
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85 == How to Contribute: ==
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87 * Access the `/docs` folder for guidelines.
88 * Use `/code` for the latest AI pipelines.
89 * Share feedback and ideas in the wiki discussion pages.
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91 == Key Objectives: ==
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93 * Develop interpretable AI models for diagnosis and progression tracking.
94 * Integrate data from Human Phenotype Ontology (HPO), Gene Ontology (GO), and other biomedical resources.
95 * Foster collaboration among neuroscientists, AI researchers, and clinicians.
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101 {{box title="**Contents**"}}
102 {{toc/}}
103 {{/box}}
104
105 == Main contents: ==
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107 * `/docs`: Documentation and contribution guidelines.
108 * `/code`: Machine learning pipelines and scripts.
109 * `/data`: Sample datasets for testing.
110 * `/outputs`: Generated models, visualizations, and reports.
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